{"id":"W4250249995","doi":"10.1002/9781118445112.stat04679","title":"Pooling Equilibria","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; Université de Montréal","funders":"","keywords":"Pooling; Externality; Subsidy; Economics; Microeconomics; Risk pool; Risk neutral; Actuarial science; Computer science; Insurance policy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003720271,0.0006423974,0.001388022,0.0004882276,0.00008798843,0.000141411,0.0007056446,0.0005281925,0.01395262],"category_scores_gemma":[0.0001979683,0.0007504522,0.0001197708,0.000138635,0.0002036698,0.00008832838,0.0002281802,0.0005629137,0.004211992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001519402,"about_ca_system_score_gemma":0.00009972914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001053121,"about_ca_topic_score_gemma":0.0007752569,"domain_scores_codex":[0.9967689,0.00003452833,0.00126971,0.001078647,0.00007957904,0.0007686166],"domain_scores_gemma":[0.9971229,0.0001385925,0.001348275,0.001054988,0.00005406076,0.0002812138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001268564,0.000070984,0.0001018434,0.0001268577,0.0001106116,0.000007437348,0.0000408504,0.0000240615,0.000001932638,0.6619928,0.3350685,0.002441473],"study_design_scores_gemma":[0.0004969154,0.00009224786,0.00003693599,0.0001851415,0.00002469722,0.000003567132,0.00002214075,0.004028504,8.784475e-7,0.2069677,0.7873967,0.0007445587],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000121779,0.00525653,0.2873511,0.0001313164,0.001793367,0.000448661,0.1052283,0.000350949,0.599318],"genre_scores_gemma":[0.00365247,0.008465809,0.1341531,0.0005868594,0.001629917,0.00004561792,0.01036967,0.001465247,0.8396314],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.455025,"threshold_uncertainty_score":0.9994947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05155378261315723,"score_gpt":0.2620084753504127,"score_spread":0.2104546927372554,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}