derived/uptake/compare.json

Derived analysis output (scratchpad derived/uptake/compare.json).

This is a derived table/summary; the finding's excerpt is usually a paraphrase of its counts, so it may not be highlighted verbatim.

{
 "final_h_rel_norm": {
  "high_median": 1.7,
  "low_values": [
   12.2,
   57.9,
   11.8,
   50.3,
   107.3
  ],
  "auc_high_gt_low": 0.31,
  "p_two_sided": 0.283
 },
 "first_line_h_rel_norm": {
  "high_median": -8.1,
  "low_values": [
   8.6,
   -509.4,
   11.4,
   30.2,
   106.3
  ],
  "auc_high_gt_low": 0.29,
  "p_two_sided": 0.227
 },
 "share_lines_jun16_17": {
  "high_median": 0.9,
  "low_values": [
   0.0,
   0.47,
   0.0,
   0.0,
   0.0
  ],
  "auc_high_gt_low": 0.87,
  "p_two_sided": 0.02
 },
 "n_cohorts": {
  "high_median": 57.0,
  "low_values": [
   11.0,
   12.0,
   14.0,
   74.0,
   15.0
  ],
  "auc_high_gt_low": 0.84,
  "p_two_sided": 0.038
 },
 "max_concurrent_cohorts": {
  "high_median": 19.0,
  "low_values": [
   5.0,
   4.0,
   8.0,
   20.0,
   6.0
  ],
  "auc_high_gt_low": 0.82,
  "p_two_sided": 0.058
 },
 "n_writers": {
  "high_median": 109.0,
  "low_values": [
   18.0,
   31.0,
   20.0,
   96.0,
   32.0
  ],
  "auc_high_gt_low": 0.87,
  "p_two_sided": 0.029
 },
 "median_followup_timer_s": {
  "high_median": 30.0,
  "low_values": [
   15.0,
   40.0,
   21.0,
   22.0,
   24.0
  ],
  "auc_high_gt_low": 0.61,
  "p_two_sided": 0.541
 },
 "rounds": {
  "high_median": 5.0,
  "low_values": [
   5.0,
   3.0,
   5.0,
   5.0,
   5.0
  ],
  "auc_high_gt_low": 0.4,
  "p_two_sided": 0.58
 },
 "tooling_share": {
  "high_median": 0.043,
  "low_values": [
   0.024,
   0.0,
   0.0,
   0.058,
   0.015
  ],
  "auc_high_gt_low": 0.78,
  "p_two_sided": 0.11
 },
 "relay_lines_before_first_final": {
  "high_median": 55.0,
  "low_values": [
   39.0,
   8.0,
   1.0,
   18.0,
   0.0
  ],
  "auc_high_gt_low": 0.93,
  "p_two_sided": 0.006
 },
 "wiki_norm_lines_3h_before_final": {
  "high_median": 8.0,
  "low_values": [
   7.0,
   2.0,
   9.0,
   6.0,
   57.0
  ],
  "auc_high_gt_low": 0.58,
  "p_two_sided": 0.671
 },
 "share_writers_prior_hub_edit": {
  "high_median": 0.0,
  "low_values": [
   0.06,
   0.0,
   0.05,
   0.0,
   0.0
  ],
  "auc_high_gt_low": 0.43,
  "p_two_sided": 0.664
 },
 "asym_vocab_share_prefinal": {
  "high_median": 0.12,
  "low_values": [
   0.19,
   0.01,
   0.0,
   0.07,
   0.12
  ],
  "auc_high_gt_low": 0.68,
  "p_two_sided": 0.312
 },
 "seed_vocab_lines": {
  "high_median": 2.0,
  "low_values": [
   0.0,
   0.0,
   0.0,
   0.0,
   0.0
  ],
  "auc_high_gt_low": 0.83,
  "p_two_sided": 0.047
 },
 "counter_tool_mentioned_prefinal": {
  "high_median": 0.0,
  "low_values": [
   0.0,
   0.0,
   0.0,
   0.0,
   0.0
  ],
  "auc_high_gt_low": 0.72,
  "p_two_sided": 0.221
 },
 "predictability_split": {
  "unknown": {
   "datausa_clothing": 2.17,
   "datausa_grocery": 1.55,
   "datausa_language": 1.6,
   "datausa_maids": 0.75,
   "datausa_poverty": 0.61,
   "datausa_sector61": 0.44,
   "ihme_family_planning": 0.7,
   "datausa_construction": 0.42,
   "datausa_transport": 2.0
  },
  "predictable": {
   "datausa_finance": 0.09,
   "datausa_prod": 0.11,
   "datausa_veterans": 0.08,
   "datausa_police": 0.57
  },
  "auc": 0.94,
  "p_two_sided": 0.011
 }
}