{ "schema_version": "maglab-standard-report-v3", "run": 100437, "generated_utc": "2026-08-22T15:10:59+00:00", "analyzer_version": "maglab-analyzer v16", "analysis_model_id": "maglab-analysis-v1", "run_header": { "run": 100437, "session_id": "bc362f12-efc7-4812-b924-c436e40ccec3", "started_utc_ms": 1787410993981, "duration_s": 282.017, "samples": { "calibrated": 14093, "uncalibrated": 14093, "accelerometer": 14800, "gyroscope": 14800 }, "magnetometer_accuracy_codes": "0\u00d710183, 2\u00d73064, 1\u00d7846", "requested_delay_us": 20000, "app_version": "38", "analysis_model_id": "maglab-analysis-v1", "has_console_manifest": false }, "identity": { "person": "unknown", "role": "unassigned", "condition": "CONTROL" }, "primary_outcome": { "version": "maglab-final-v1", "available": false, "reason": "primary windows lack 80% sample coverage", "stream": "calibrated", "nominal_hz": 50.0, "reference_n": 1501, "outcome_n": 2095, "reference_window_s": [ 0.0, 30.0 ], "outcome_window_s": [ 240.0, 300.0 ], "reference_actual_bounds_s": [ 0.0, 29.999984903 ], "outcome_actual_bounds_s": [ 240.019987859, 281.939985932 ], "run_seconds": 281.939985932 }, "practitioner_comparison": { "available": false, "reason": "not_a_cherylee_primary_run" }, "overall_quality": "INCOMPLETE", "summary": "CONTROL; primary result unavailable; incomplete", "checks": { "readiness": { "status": "pass", "analyzable": true, "missing_streams": [], "session_type": "PHONE_FIRST_SESSION", "app_version": "38", "console_manifest": "unavailable_phone_first", "blocks": { "value": 1, "unit": "rows", "n": 1, "window": "whole run", "validity": "valid", "reason_code": "", "note": "" }, "aborted_blocks": { "value": 1, "unit": "blocks", "n": 1, "window": "whole run", "validity": "valid", "reason_code": "", "note": "" }, "streams": { "calibrated": { "value": 14093, "unit": "samples", "n": 14093, "window": "whole run", "validity": "valid", "reason_code": "", "note": "" }, "uncalibrated": { "value": 14093, "unit": "samples", "n": 14093, "window": "whole run", "validity": "valid", "reason_code": "", "note": "" }, "accelerometer": { "value": 14800, "unit": "samples", "n": 14800, "window": "whole run", "validity": "valid", "reason_code": "", "note": "" }, "gyroscope": { "value": 14800, "unit": "samples", "n": 14800, "window": "whole run", "validity": "valid", "reason_code": "", "note": "" } } }, "sampling": { "summary": "calibrated magnetometer 49.9823 Hz effective over N=14093 samples, 5 gaps", "stats": { "calibrated_samples": { "key": "calibrated_samples", "label": "calibrated samples", "value": 14093, "unit": "", "n": 14093, "window": [ 0.0, 281.939985932 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_duration": { "key": "calibrated_duration", "label": "calibrated span, first to last sample", "value": 281.94, "unit": "s", "n": 14093, "window": [ 0.0, 281.939985932 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_effective_rate": { "key": "calibrated_effective_rate", "label": "calibrated effective rate", "value": 49.98226822426952, "unit": "Hz", "n": 14093, "window": [ 0.0, 281.939985932 ], "note": "nominal 50 Hz", "validity": "valid", "reason_code": "" }, "calibrated_median_interval": { "key": "calibrated_median_interval", "label": "calibrated median sample interval", "value": 19.99937149998665, "unit": "ms", "n": 14092, "window": [ 0.0, 281.939985932 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_max_interval": { "key": "calibrated_max_interval", "label": "calibrated largest sample interval", "value": 40.004170000031536, "unit": "ms", "n": 14092, "window": [ 0.0, 281.939985932 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_gaps": { "key": "calibrated_gaps", "label": "calibrated intervals over 1.5\u00d7 nominal", "value": 5, "unit": "", "n": 14092, "window": [ 0.0, 281.939985932 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_missing_estimate": { "key": "calibrated_missing_estimate", "label": "calibrated samples missing across those gaps", "value": 5, "unit": "", "n": 14092, "window": [ 0.0, 281.939985932 ], "note": "estimated from interval length; the phone never fabricates a sample", "validity": "valid", "reason_code": "" }, "calibrated_completeness": { "key": "calibrated_completeness", "label": "calibrated completeness against nominal rate", "value": 0.9997, "unit": "", "n": 14093, "window": [ 0.0, 281.939985932 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_gaps_exported": { "key": "calibrated_gaps_exported", "label": "calibrated gaps recorded by the phone", "value": 2, "unit": "", "n": 14092, "window": [ 0.0, 281.939985932 ], "note": "from data_gaps.csv", "validity": "valid", "reason_code": "" }, "uncalibrated_samples": { "key": "uncalibrated_samples", "label": "uncalibrated samples", "value": 14093, "unit": "", "n": 14093, "window": [ 0.0, 281.939985932 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_duration": { "key": "uncalibrated_duration", "label": "uncalibrated span, first to last sample", "value": 281.94, "unit": "s", "n": 14093, "window": [ 0.0, 281.939985932 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_effective_rate": { "key": "uncalibrated_effective_rate", "label": "uncalibrated effective rate", "value": 49.98226822426952, "unit": "Hz", "n": 14093, "window": [ 0.0, 281.939985932 ], "note": "nominal 50 Hz", "validity": "valid", "reason_code": "" }, "uncalibrated_median_interval": { "key": "uncalibrated_median_interval", "label": "uncalibrated median sample interval", "value": 19.99937199998625, "unit": "ms", "n": 14092, "window": [ 0.0, 281.939985932 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_max_interval": { "key": "uncalibrated_max_interval", "label": "uncalibrated largest sample interval", "value": 40.004170000031536, "unit": "ms", "n": 14092, "window": [ 0.0, 281.939985932 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_gaps": { "key": "uncalibrated_gaps", "label": "uncalibrated intervals over 1.5\u00d7 nominal", "value": 5, "unit": "", "n": 14092, "window": [ 0.0, 281.939985932 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_missing_estimate": { "key": "uncalibrated_missing_estimate", "label": "uncalibrated samples missing across those gaps", "value": 5, "unit": "", "n": 14092, "window": [ 0.0, 281.939985932 ], "note": "estimated from interval length; the phone never fabricates a sample", "validity": "valid", "reason_code": "" }, "uncalibrated_completeness": { "key": "uncalibrated_completeness", "label": "uncalibrated completeness against nominal rate", "value": 0.9997, "unit": "", "n": 14093, "window": [ 0.0, 281.939985932 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_gaps_exported": { "key": "uncalibrated_gaps_exported", "label": "uncalibrated gaps recorded by the phone", "value": 2, "unit": "", "n": 14092, "window": [ 0.0, 281.939985932 ], "note": "from data_gaps.csv", "validity": "valid", "reason_code": "" }, "accelerometer_samples": { "key": "accelerometer_samples", "label": "accelerometer samples", "value": 14800, "unit": "", "n": 14800, "window": [ 0.0, 281.938039223 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_duration": { "key": "accelerometer_duration", "label": "accelerometer span, first to last sample", "value": 281.938, "unit": "s", "n": 14800, "window": [ 0.0, 281.938039223 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_effective_rate": { "key": "accelerometer_effective_rate", "label": "accelerometer effective rate", "value": 52.490256514463006, "unit": "Hz", "n": 14800, "window": [ 0.0, 281.938039223 ], "note": "nominal 50 Hz", "validity": "valid", "reason_code": "" }, "accelerometer_median_interval": { "key": "accelerometer_median_interval", "label": "accelerometer median sample interval", "value": 19.051074999993034, "unit": "ms", "n": 14799, "window": [ 0.0, 281.938039223 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_max_interval": { "key": "accelerometer_max_interval", "label": "accelerometer largest sample interval", "value": 19.05202500000769, "unit": "ms", "n": 14799, "window": [ 0.0, 281.938039223 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_gaps": { "key": "accelerometer_gaps", "label": "accelerometer intervals over 1.5\u00d7 nominal", "value": 0, "unit": "", "n": 14799, "window": [ 0.0, 281.938039223 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_missing_estimate": { "key": "accelerometer_missing_estimate", "label": "accelerometer samples missing across those gaps", "value": 0, "unit": "", "n": 14799, "window": [ 0.0, 281.938039223 ], "note": "estimated from interval length; the phone never fabricates a sample", "validity": "valid", "reason_code": "" }, "accelerometer_completeness": { "key": "accelerometer_completeness", "label": "accelerometer completeness against nominal rate", "value": 1.0499, "unit": "", "n": 14800, "window": [ 0.0, 281.938039223 ], "note": "", "validity": "valid", "reason_code": "" }, "accelerometer_gaps_exported": { "key": "accelerometer_gaps_exported", "label": "accelerometer gaps recorded by the phone", "value": 1, "unit": "", "n": 14799, "window": [ 0.0, 281.938039223 ], "note": "from data_gaps.csv", "validity": "valid", "reason_code": "" }, "gyroscope_samples": { "key": "gyroscope_samples", "label": "gyroscope samples", "value": 14800, "unit": "", "n": 14800, "window": [ 0.0, 281.938039223 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_duration": { "key": "gyroscope_duration", "label": "gyroscope span, first to last sample", "value": 281.938, "unit": "s", "n": 14800, "window": [ 0.0, 281.938039223 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_effective_rate": { "key": "gyroscope_effective_rate", "label": "gyroscope effective rate", "value": 52.490256514463006, "unit": "Hz", "n": 14800, "window": [ 0.0, 281.938039223 ], "note": "nominal 50 Hz", "validity": "valid", "reason_code": "" }, "gyroscope_median_interval": { "key": "gyroscope_median_interval", "label": "gyroscope median sample interval", "value": 19.051074999993034, "unit": "ms", "n": 14799, "window": [ 0.0, 281.938039223 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_max_interval": { "key": "gyroscope_max_interval", "label": "gyroscope largest sample interval", "value": 19.05202500000769, "unit": "ms", "n": 14799, "window": [ 0.0, 281.938039223 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_gaps": { "key": "gyroscope_gaps", "label": "gyroscope intervals over 1.5\u00d7 nominal", "value": 0, "unit": "", "n": 14799, "window": [ 0.0, 281.938039223 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_missing_estimate": { "key": "gyroscope_missing_estimate", "label": "gyroscope samples missing across those gaps", "value": 0, "unit": "", "n": 14799, "window": [ 0.0, 281.938039223 ], "note": "estimated from interval length; the phone never fabricates a sample", "validity": "valid", "reason_code": "" }, "gyroscope_completeness": { "key": "gyroscope_completeness", "label": "gyroscope completeness against nominal rate", "value": 1.0499, "unit": "", "n": 14800, "window": [ 0.0, 281.938039223 ], "note": "", "validity": "valid", "reason_code": "" }, "gyroscope_gaps_exported": { "key": "gyroscope_gaps_exported", "label": "gyroscope gaps recorded by the phone", "value": 1, "unit": "", "n": 14799, "window": [ 0.0, 281.938039223 ], "note": "from data_gaps.csv", "validity": "valid", "reason_code": "" }, "exported_gap_rows": { "key": "exported_gap_rows", "label": "Rows in data_gaps.csv", "value": 6, "unit": "", "n": 6, "window": "whole run", "note": "", "validity": "valid", "reason_code": "" } }, "caveats": [ "calibrated: this recount found 5 gaps but data_gaps.csv records 2. The two use different detection rules (here: interval > 1.5\u00d7 nominal), so a difference is expected for marginal intervals, but a large disagreement means the timing should be checked before use.", "uncalibrated: this recount found 5 gaps but data_gaps.csv records 2. The two use different detection rules (here: interval > 1.5\u00d7 nominal), so a difference is expected for marginal intervals, but a large disagreement means the timing should be checked before use.", "accelerometer: this recount found 0 gaps but data_gaps.csv records 1. The two use different detection rules (here: interval > 1.5\u00d7 nominal), so a difference is expected for marginal intervals, but a large disagreement means the timing should be checked before use.", "gyroscope: this recount found 0 gaps but data_gaps.csv records 1. The two use different detection rules (here: interval > 1.5\u00d7 nominal), so a difference is expected for marginal intervals, but a large disagreement means the timing should be checked before use.", "Effective rate is (N\u22121)/span between the first and last sample, so a stream that stopped early reports a normal rate over a short span. Compare the span against the run duration." ], "per_block_calibrated_coverage": [ { "block_index": 0, "n": 14085, "window_utc_ms": [ 1787410994165, 1787411275963 ], "effective_rate_hz": 49.98261165799615 } ] }, "warmup": { "status": "reported_unrecorded", "recorded_mask_s": [], "note": "Phone-first warm-up occurred before Room recording; CSV t=0 is the first measurement sample.", "app_version": "38" }, "baseline_drift": { "summary": "calibrated |B| drifts 0.00468031 \u00b5T/s (1.31957 \u00b5T over 0.0\u2013281.9 s, N=14093)", "stats": { "calibrated_slope": { "key": "calibrated_slope", "label": "|B| slope, calibrated", "value": 0.004680307989590616, "unit": "\u00b5T/s", "n": 14093, "window": [ 0.0, 281.939985932 ], "note": "ordinary least squares on |B| against phone-clock time", "validity": "valid", "reason_code": "" }, "calibrated_slope_stderr": { "key": "calibrated_slope_stderr", "label": "Slope standard error, calibrated", "value": 0.0011609927054909294, "unit": "\u00b5T/s", "n": 14093, "window": [ 0.0, 281.939985932 ], "note": "assumes independent residuals; sensor noise is autocorrelated, so this is optimistic", "validity": "valid", "reason_code": "" }, "calibrated_total_change": { "key": "calibrated_total_change", "label": "Fitted change across the window, calibrated", "value": 1.3195659687426056, "unit": "\u00b5T", "n": 14093, "window": [ 0.0, 281.939985932 ], "note": "slope \u00d7 281.9 s", "validity": "valid", "reason_code": "" }, "calibrated_residual_rms": { "key": "calibrated_residual_rms", "label": "Residual RMS after removing the slope, calibrated", "value": 11.21755080085064, "unit": "\u00b5T", "n": 14093, "window": [ 0.0, 281.939985932 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_r_squared": { "key": "calibrated_r_squared", "label": "r\u00b2 of the linear fit, calibrated", "value": 0.00115198673681971, "unit": "", "n": 14093, "window": [ 0.0, 281.939985932 ], "note": "fraction of |B| variance the straight line accounts for", "validity": "valid", "reason_code": "" }, "calibrated_mean": { "key": "calibrated_mean", "label": "Mean |B|, calibrated", "value": 31.722333595352303, "unit": "\u00b5T", "n": 14093, "window": [ 0.0, 281.939985932 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_range": { "key": "calibrated_range", "label": "Peak-to-peak |B|, calibrated", "value": 74.635497, "unit": "\u00b5T", "n": 14093, "window": [ 0.0, 281.939985932 ], "note": "", "validity": "valid", "reason_code": "" }, "calibrated_slope_first_half": { "key": "calibrated_slope_first_half", "label": "Slope, first half, calibrated", "value": -0.10497411874315515, "unit": "\u00b5T/s", "n": 7046, "window": [ 0.0, 140.939987768 ], "note": "first vs second half", "validity": "valid", "reason_code": "" }, "calibrated_slope_second_half": { "key": "calibrated_slope_second_half", "label": "Slope, second half, calibrated", "value": 0.030644819677495865, "unit": "\u00b5T/s", "n": 7047, "window": [ 140.959990813, 281.939985932 ], "note": "first vs second half", "validity": "valid", "reason_code": "" }, "uncalibrated_slope": { "key": "uncalibrated_slope", "label": "|B| slope, uncalibrated", "value": 0.016669804487966063, "unit": "\u00b5T/s", "n": 14093, "window": [ 0.0, 281.939985932 ], "note": "ordinary least squares on |B| against phone-clock time", "validity": "valid", "reason_code": "" }, "uncalibrated_slope_stderr": { "key": "uncalibrated_slope_stderr", "label": "Slope standard error, uncalibrated", "value": 0.0010629390199465287, "unit": "\u00b5T/s", "n": 14093, "window": [ 0.0, 281.939985932 ], "note": "assumes independent residuals; sensor noise is autocorrelated, so this is optimistic", "validity": "valid", "reason_code": "" }, "uncalibrated_total_change": { "key": "uncalibrated_total_change", "label": "Fitted change across the window, uncalibrated", "value": 4.699884442826343, "unit": "\u00b5T", "n": 14093, "window": [ 0.0, 281.939985932 ], "note": "slope \u00d7 281.9 s", "validity": "valid", "reason_code": "" }, "uncalibrated_residual_rms": { "key": "uncalibrated_residual_rms", "label": "Residual RMS after removing the slope, uncalibrated", "value": 10.270152773625052, "unit": "\u00b5T", "n": 14093, "window": [ 0.0, 281.939985932 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_r_squared": { "key": "uncalibrated_r_squared", "label": "r\u00b2 of the linear fit, uncalibrated", "value": 0.0171548760630732, "unit": "", "n": 14093, "window": [ 0.0, 281.939985932 ], "note": "fraction of |B| variance the straight line accounts for", "validity": "valid", "reason_code": "" }, "uncalibrated_mean": { "key": "uncalibrated_mean", "label": "Mean |B|, uncalibrated", "value": 237.00868174341872, "unit": "\u00b5T", "n": 14093, "window": [ 0.0, 281.939985932 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_range": { "key": "uncalibrated_range", "label": "Peak-to-peak |B|, uncalibrated", "value": 100.78452000000001, "unit": "\u00b5T", "n": 14093, "window": [ 0.0, 281.939985932 ], "note": "", "validity": "valid", "reason_code": "" }, "uncalibrated_slope_first_half": { "key": "uncalibrated_slope_first_half", "label": "Slope, first half, uncalibrated", "value": 0.008859987752788555, "unit": "\u00b5T/s", "n": 7046, "window": [ 0.0, 140.939987768 ], "note": "first vs second half", "validity": "valid", "reason_code": "" }, "uncalibrated_slope_second_half": { "key": "uncalibrated_slope_second_half", "label": "Slope, second half, uncalibrated", "value": 0.014945864714775292, "unit": "\u00b5T/s", "n": 7047, "window": [ 140.959990813, 281.939985932 ], "note": "first vs second half", "validity": "valid", "reason_code": "" } }, "caveats": [ "calibrated: the two halves drift in opposite directions, so the whole-run slope understates what the field actually did. Treat the single slope as a summary, not a description.", "A drift is what the instrument reported over this window. It does not identify a cause; temperature, the phone's own bias estimate and a real field change all look like this." ] }, "motion": { "status": "review", "derived_trips": 9, "derived_trip_intervals": [ { "start_s": 0.0, "end_s": 20.42075919, "peak_gyro_deg_s": 366.40255657737504, "peak_accel_dev_m_s2": 27.53780297288889 }, { "start_s": 26.766416395, "end_s": 43.910498622, "peak_gyro_deg_s": 42.65407797121014, "peak_accel_dev_m_s2": 2.2492039728888873 }, { "start_s": 47.608077007, "end_s": 58.351060786, "peak_gyro_deg_s": 11.643044415132522, "peak_accel_dev_m_s2": 0.9945120271111119 }, { "start_s": 59.953042915, "end_s": 70.71507800500001, "peak_gyro_deg_s": 13.839931905340277, "peak_accel_dev_m_s2": 0.137489027111112 }, { "start_s": 102.627063468, "end_s": 118.837674609, "peak_gyro_deg_s": 79.93664796517905, "peak_accel_dev_m_s2": 4.754667627111112 }, { "start_s": 119.506219719, "end_s": 178.238847583, "peak_gyro_deg_s": 267.98585966833934, "peak_accel_dev_m_s2": 13.294291972888887 }, { "start_s": 187.25195305, "end_s": 197.366260412, "peak_gyro_deg_s": 6.438879648157362, "peak_accel_dev_m_s2": 1.182864027111112 }, { "start_s": 199.825795196, "end_s": 210.987925071, "peak_gyro_deg_s": 128.25464292437545, "peak_accel_dev_m_s2": 4.745979027111112 }, { "start_s": 212.075806539, "end_s": 291.938039223, "peak_gyro_deg_s": 287.35672620333156, "peak_accel_dev_m_s2": 6.2477639728888885 } ], "exported_motion_gate_rows": 9, "orientation_artifact_channel": { "flagged": false, "perpendicular_sigma_nt": 4572.505191438353, "perpendicular_excursion_nt": 45771.79696601232, "n": 252, "window": [ 30.0, 281.0 ], "note": "Reported symmetrically as a diagnostic; it is not subtracted or used as a control." }, "quiet_active_analysis": { "summary": "zero-lag r=0.254936 (N=14092); active/quiet SD ratio 12.6052\u00d7 (16.5943 vs 1.31647 \u00b5T)", "stats": { "gyro_median_rate": { "key": "gyro_median_rate", "label": "Median |\u03c9| over the run", "value": 0.0014936323, "unit": "rad/s", "n": 14800, "window": "whole run", "note": "", "validity": "valid", "reason_code": "" }, "gyro_p95_rate": { "key": "gyro_p95_rate", "label": "95th percentile |\u03c9|", "value": 0.47956921299999994, "unit": "rad/s", "n": 14800, "window": "whole run", "note": "", "validity": "valid", "reason_code": "" }, "gyro_max_rate": { "key": "gyro_max_rate", "label": "Maximum |\u03c9|", "value": 6.394931, "unit": "rad/s", "n": 14800, "window": "whole run", "note": "", "validity": "valid", "reason_code": "" }, "corr_pearson_lag0": { "key": "corr_pearson_lag0", "label": "Pearson r, |\u03c9| vs |\u0394B| at zero lag", "value": 0.2549358097761298, "unit": "", "n": 14092, "window": [ 0.019997913, 281.939985932 ], "note": "primary framing (a); no lag search involved", "validity": "valid", "reason_code": "" }, "corr_p_lag0": { "key": "corr_p_lag0", "label": "p for zero-lag r, circular-shift null", "value": 0.002, "unit": "", "n": 14092, "window": [ 0.019997913, 281.939985932 ], "note": "999 circular shifts, two-sided; shifting preserves each series' autocorrelation", "validity": "valid", "reason_code": "" }, "corr_spearman_lag0": { "key": "corr_spearman_lag0", "label": "Spearman \u03c1, |\u03c9| vs |\u0394B| at zero lag", "value": 0.08698404068183509, "unit": "", "n": 14092, "window": [ 0.019997913, 281.939985932 ], "note": "rank version, robust to the heavy tail in |\u0394B|", "validity": "valid", "reason_code": "" }, "corr_r_squared_lag0": { "key": "corr_r_squared_lag0", "label": "r\u00b2 at zero lag (variance shared)", "value": 0.06499226710621103, "unit": "", "n": 14092, "window": [ 0.019997913, 281.939985932 ], "note": "effect size for framing (a)", "validity": "valid", "reason_code": "" }, "corr_best_lag_s": { "key": "corr_best_lag_s", "label": "Lag with the largest |r| (exploratory)", "value": 0.0, "unit": "s", "n": 14092, "window": [ 0.019997913, 281.939985932 ], "note": "21 lags tested from -1 to 1 s", "validity": "valid", "reason_code": "" }, "corr_best_lag_r": { "key": "corr_best_lag_r", "label": "Pearson r at that lag (exploratory)", "value": 0.2549358097761298, "unit": "", "n": 14092, "window": [ 0.019997913, 281.939985932 ], "note": "selected out of 21 comparisons \u2014 not corrected, not a test", "validity": "valid", "reason_code": "" }, "corr_lags_tested": { "key": "corr_lags_tested", "label": "Number of lags compared", "value": 21, "unit": "", "n": 14092, "window": [ 0.019997913, 281.939985932 ], "note": "", "validity": "valid", "reason_code": "" }, "regime_threshold": { "key": "regime_threshold", "label": "Angular-rate threshold splitting quiet from active", "value": 0.02, "unit": "rad/s", "n": null, "window": null, "note": "minimum span 2 s; stated in advance, not fitted to these data", "validity": "valid", "reason_code": "" }, "regime_quiet_seconds": { "key": "regime_quiet_seconds", "label": "Gyro-quiet time", "value": 204.16, "unit": "s", "n": 10230, "window": "10.4\u201326.7, 27.5\u201333.3, 33.9\u201347.6, \u2026 (22 spans) s", "note": "", "validity": "valid", "reason_code": "" }, "regime_active_seconds": { "key": "regime_active_seconds", "label": "Gyro-active time", "value": 14.0, "unit": "s", "n": 703, "window": "0.0\u20132.6, 147.6\u2013150.8, 154.8\u2013160.4, \u2026 (4 spans) s", "note": "", "validity": "valid", "reason_code": "" }, "calibrated_quiet_sd": { "key": "calibrated_quiet_sd", "label": "|B| SD in gyro-quiet windows, calibrated", "value": 1.316472793529448, "unit": "\u00b5T", "n": 10125, "window": "10.4\u201326.7, 27.5\u201333.3, 33.9\u201347.6, \u2026 (22 spans) s", "note": "48 windows of 5 s", "validity": "valid", "reason_code": "" }, "calibrated_active_sd": { "key": "calibrated_active_sd", "label": "|B| SD in gyro-active windows, calibrated", "value": 16.594337389207837, "unit": "\u00b5T", "n": 703, "window": "0.0\u20132.6, 147.6\u2013150.8, 154.8\u2013160.4, \u2026 (4 spans) s", "note": "5 windows of 5 s", "validity": "valid", "reason_code": "" }, "calibrated_sd_ratio": { "key": "calibrated_sd_ratio", "label": "SD ratio active/quiet, calibrated", "value": 12.605150270305712, "unit": "\u00d7", "n": 10828, "window": "quiet and active windows pooled separately", "note": "effect size: 1.0 means motion made no difference", "validity": "valid", "reason_code": "" }, "calibrated_window_sd_p": { "key": "calibrated_window_sd_p", "label": "Mann\u2013Whitney p on per-window SDs, calibrated", "value": 4.878584234855045e-06, "unit": "", "n": 53, "window": "48 quiet vs 5 active windows", "note": "windows, not samples, are the unit here", "validity": "valid", "reason_code": "" }, "calibrated_window_sd_effect": { "key": "calibrated_window_sd_effect", "label": "Rank-biserial effect size, calibrated", "value": -0.975, "unit": "", "n": 53, "window": "48 quiet vs 5 active windows", "note": "+1 = every active window noisier than every quiet one", "validity": "valid", "reason_code": "" }, "uncalibrated_quiet_sd": { "key": "uncalibrated_quiet_sd", "label": "|B| SD in gyro-quiet windows, uncalibrated", "value": 1.34809295343999, "unit": "\u00b5T", "n": 10125, "window": "10.4\u201326.7, 27.5\u201333.3, 33.9\u201347.6, \u2026 (22 spans) s", "note": "48 windows of 5 s", "validity": "valid", "reason_code": "" }, "uncalibrated_active_sd": { "key": "uncalibrated_active_sd", "label": "|B| SD in gyro-active windows, uncalibrated", "value": 9.583974466212764, "unit": "\u00b5T", "n": 703, "window": "0.0\u20132.6, 147.6\u2013150.8, 154.8\u2013160.4, \u2026 (4 spans) s", "note": "5 windows of 5 s", "validity": "valid", "reason_code": "" }, "uncalibrated_sd_ratio": { "key": "uncalibrated_sd_ratio", "label": "SD ratio active/quiet, uncalibrated", "value": 7.109283111195635, "unit": "\u00d7", "n": 10828, "window": "quiet and active windows pooled separately", "note": "effect size: 1.0 means motion made no difference", "validity": "valid", "reason_code": "" }, "uncalibrated_window_sd_p": { "key": "uncalibrated_window_sd_p", "label": "Mann\u2013Whitney p on per-window SDs, uncalibrated", "value": 4.878584234855045e-06, "unit": "", "n": 53, "window": "48 quiet vs 5 active windows", "note": "windows, not samples, are the unit here", "validity": "valid", "reason_code": "" }, "uncalibrated_window_sd_effect": { "key": "uncalibrated_window_sd_effect", "label": "Rank-biserial effect size, uncalibrated", "value": -0.975, "unit": "", "n": 53, "window": "48 quiet vs 5 active windows", "note": "+1 = every active window noisier than every quiet one", "validity": "valid", "reason_code": "" } }, "caveats": [ "23 exploratory comparisons were made in this run and none are corrected for multiplicity. The zero-lag correlation and the regime SD ratio are the two figures stated in advance; the best-lag number is a search result and should be treated as a hypothesis, not a finding.", "The quiet/active threshold is provisional (docs/analysis-model.md). Rerunning with a different threshold will change these numbers, and a threshold chosen after seeing the result is not a test.", "This measures the phone's magnetometer while the phone moves. It says nothing about the source of any field change, and it is not a pre-registered test of the pinwheel hypothesis." ] }, "note": "Gyro quiet/active split and motion-gate trips are both reported; they use distinct established thresholds." }, "thermal": { "status": "pass", "temperature_start_c": { "value": 23.0, "unit": "\u00b0C", "n": 1, "window": [ 0.0, 0.0 ], "validity": "valid", "reason_code": "", "note": "" }, "temperature_end_c": { "value": 24.0, "unit": "\u00b0C", "n": 1, "window": [ 280.258, 280.258 ], "validity": "valid", "reason_code": "", "note": "" }, "temperature_range_c": { "value": 1.0, "unit": "\u00b0C", "n": 29, "window": [ 0.0, 280.258 ], "validity": "valid", "reason_code": "", "note": "" }, "temperature_slope_c_per_min": { "value": 0.24805576826953965, "unit": "\u00b0C/min", "n": 29, "window": [ 0.0, 280.258 ], "validity": "valid", "reason_code": "", "note": "" }, "max_thermal_status": { "value": 0, "unit": "code", "n": 29, "window": "whole run", "validity": "valid", "reason_code": "", "note": "" }, "estimated_sitting_elapsed_s": { "value": 342.017, "unit": "s", "n": null, "window": "warm-up + recording", "validity": "valid", "reason_code": "", "note": "Known Pixel 7 knee is approximately 7\u20138 minutes; association is not causation." }, "charging_states": [ "DISCHARGING" ], "screen_states": [ "ON" ] }, "ambient": { "status": "available", "reason_code": "", "install_id": "7006b003-f48a-4ea5-b7e6-77fc888f5249", "day_utc": "20260822", "rows_day": 1135, "rows_context": 30, "ambient_control_windows": 26, "ambient_delta_mean_nt": 580.83, "ambient_delta_median_nt": -7.38, "ambient_windows_more_positive_fraction": null, "window_utc_ms": [ 1787410693981, 1787411575998 ], "note": "Ambient context includes non-overlapping 300-second windows using the same 0\u201330 s versus 240\u2013300 s outcome." }, "rolling_anomaly": { "version": "maglab-rolling-feedback-v1", "hop_s": 1, "window_lengths_s": [ 10, 20, 30 ], "drift_sigma_nt": 11081.389640381089, "denominator_floor_nt": 1.0, "rows": 786, "valid_rows": 36, "top_candidate_windows": [ { "window_start_s": 84.0, "window_end_s": 94.0, "window_length_s": 10, "n": 500, "raw_score": 1.828023534445455, "score": 1.828023534445455, "valid": true, "invalid_reasons": "", "signed_change_nt": -20257.041056976686, "absolute_change_nt": 20257.041056976686, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 11081.389640381089 }, { "window_start_s": 83.0, "window_end_s": 93.0, "window_length_s": 10, "n": 500, "raw_score": 1.827083631027381, "score": 1.827083631027381, "valid": true, "invalid_reasons": "", "signed_change_nt": -20246.625620976683, "absolute_change_nt": 20246.625620976683, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 11081.389640381089 }, { "window_start_s": 82.0, "window_end_s": 92.0, "window_length_s": 10, "n": 500, "raw_score": 1.826502009930284, "score": 1.826502009930284, "valid": true, "invalid_reasons": "", "signed_change_nt": -20240.180450976684, "absolute_change_nt": 20240.180450976684, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 11081.389640381089 }, { "window_start_s": 85.0, "window_end_s": 95.0, "window_length_s": 10, "n": 500, "raw_score": 1.8238208667736775, "score": 1.8238208667736775, "valid": true, "invalid_reasons": "", "signed_change_nt": -20210.469658976686, "absolute_change_nt": 20210.469658976686, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 11081.389640381089 }, { "window_start_s": 81.0, "window_end_s": 91.0, "window_length_s": 10, "n": 500, "raw_score": 1.8237251109132269, "score": 1.8237251109132269, "valid": true, "invalid_reasons": "", "signed_change_nt": -20209.408550976685, "absolute_change_nt": 20209.408550976685, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 11081.389640381089 }, { "window_start_s": 71.0, "window_end_s": 91.0, "window_length_s": 20, "n": 1000, "raw_score": 1.8232462155605482, "score": 1.8232462155605482, "valid": true, "invalid_reasons": "", "signed_change_nt": -20204.101724976685, "absolute_change_nt": 20204.101724976685, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 11081.389640381089 }, { "window_start_s": 73.0, "window_end_s": 93.0, "window_length_s": 20, "n": 1000, "raw_score": 1.822837300961653, "score": 1.822837300961653, "valid": true, "invalid_reasons": "", "signed_change_nt": -20199.570382976686, "absolute_change_nt": 20199.570382976686, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 11081.389640381089 }, { "window_start_s": 72.0, "window_end_s": 92.0, "window_length_s": 20, "n": 1000, "raw_score": 1.8228257225401585, "score": 1.8228257225401585, "valid": true, "invalid_reasons": "", "signed_change_nt": -20199.442077976684, "absolute_change_nt": 20199.442077976684, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 11081.389640381089 }, { "window_start_s": 71.0, "window_end_s": 81.0, "window_length_s": 10, "n": 500, "raw_score": 1.8227673202078694, "score": 1.8227673202078694, "valid": true, "invalid_reasons": "", "signed_change_nt": -20198.79489897668, "absolute_change_nt": 20198.79489897668, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 11081.389640381089 }, { "window_start_s": 74.0, "window_end_s": 94.0, "window_length_s": 20, "n": 1000, "raw_score": 1.8218829698404495, "score": 1.8218829698404495, "valid": true, "invalid_reasons": "", "signed_change_nt": -20188.995067976688, "absolute_change_nt": 20188.995067976688, "motion_fraction": 0.0, "artifact_fraction": 0.0, "normalization_denominator_nt": 11081.389640381089 } ], "note": "Scores use feedback_meter level/drift_sigma. Both signs are treated symmetrically; ranked windows are descriptive." } } }