Datasets:
DOI:
License:
File size: 2,950 Bytes
9b7bd53 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 | {
"what": "detection rate of an injected settling date under the corrected rule",
"rule": {
"theta": 0.7,
"min_following": 2,
"min_below_before": 1,
"crossing": "crosses theta and stays"
},
"noise": "whole ordered residual series from another construct, circularly shifted; autocorrelation kept",
"shapes": [
"step",
"exponential with tau = one x1.5 spacing"
],
"dates": {
"step|84B": {
"shape": "step",
"tokens": 84000000000.0,
"draws": 338,
"detections": 336,
"detection_rate": 0.9940828402366864,
"median_date_found": 104874552710.5483
},
"step|200B": {
"shape": "step",
"tokens": 200000000000.0,
"draws": 338,
"detections": 336,
"detection_rate": 0.9940828402366864,
"median_date_found": 205554123312.67465
},
"step|500B": {
"shape": "step",
"tokens": 500000000000.0,
"draws": 338,
"detections": 335,
"detection_rate": 0.9911242603550295,
"median_date_found": 625052334154.8679
},
"step|1000B": {
"shape": "step",
"tokens": 1000000000000.0,
"draws": 338,
"detections": 336,
"detection_rate": 0.9940828402366864,
"median_date_found": 1220739793550.7822
},
"step|1500B": {
"shape": "step",
"tokens": 1500000000000.0,
"draws": 338,
"detections": 336,
"detection_rate": 0.9940828402366864,
"median_date_found": 1526973487465.5833
},
"exponential|84B": {
"shape": "exponential",
"tokens": 84000000000.0,
"draws": 338,
"detections": 336,
"detection_rate": 0.9940828402366864,
"median_date_found": 205554123312.67465
},
"exponential|200B": {
"shape": "exponential",
"tokens": 200000000000.0,
"draws": 338,
"detections": 336,
"detection_rate": 0.9940828402366864,
"median_date_found": 499202870902.2099
},
"exponential|500B": {
"shape": "exponential",
"tokens": 500000000000.0,
"draws": 338,
"detections": 338,
"detection_rate": 1.0,
"median_date_found": 1220739793550.7822
},
"exponential|1000B": {
"shape": "exponential",
"tokens": 1000000000000.0,
"draws": 338,
"detections": 0,
"detection_rate": 0.0,
"median_date_found": null
},
"exponential|1500B": {
"shape": "exponential",
"tokens": 1500000000000.0,
"draws": 338,
"detections": 0,
"detection_rate": 0.0,
"median_date_found": null
},
"false_detection": {
"draws": 338,
"detections": 0,
"rate": 0.0,
"what": "the same rule on an uninjected series"
}
},
"n_constructs": 169,
"reading": "a date whose detection rate is high means '0 of 169' excludes settling before it; a low rate means the null is uninformative there",
"minutes": 0.19379020134607952,
"provenance": {
"inputs": [
"validation/carriers/*.npz"
],
"reference": null,
"battery_prompt_hash": "570b42db13f8fe5772b8d1a9ad7d55d6fa1279dae5948ad94e8363789bcbc1ad",
"code_commit": "1d8310f",
"design": "9-Paper-1/2610-18Oct_PAPER-1-Design.md sha256 47f6a664\u2026"
}
} |