1{2 "experiment": 10,3 "name": "selection_decomposition",4 "hypothesis": "Selection bias: impact decomposition of the index change into within-type and composition terms across G families and urgency spreads; the composition term is small for light tails, larger and amplifying for exponential/Pareto; steady-state composition effects vanish when delta=0.",5 "rows": 144,6 "columns": [7 "G",8 "c_max",9 "A_mult",10 "kind",11 "theta_base",12 "theta_new",13 "P0",14 "P_fix",15 "P_impact",16 "P_ss",17 "within_log",18 "composition_impact_log",19 "composition_ss_log",20 "total_impact_log",21 "amplification_ratio_impact",22 "eps_patient",23 "eps_urgent",24 "eps_slope_sign",25 "urgent_share_base",26 "urgent_share_impact",27 "urgent_share_base_",28 "is_ifr",29 "converged"30 ],31 "env": {32 "python": "3.14.4",33 "numpy": "2.4.4",34 "scipy": "1.17.1",35 "pandas": "3.0.2",36 "config_hash": "0a165f317815d76c",37 "seed": 20261020,38 "timestamp": "2026-10-20T08:03:25"39 }40}