{"id":"W4255356887","doi":"10.1002/9780470012505.tap021","title":"Pooling Equilibria","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Actuarial Science","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; HEC Montréal","funders":"","keywords":"Pooling; Externality; Subsidy; Economics; Microeconomics; Risk neutral; Risk pool; 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":[0.0006533304,0.0002387322,0.0005692405,0.0006804412,0.00008874183,0.00005364787,0.0009402563,0.0001945125,0.002057572],"category_scores_gemma":[0.0002663019,0.0002664766,0.0001302607,0.0007459011,0.0004543983,0.0002344162,0.0002113436,0.0001737392,0.001127074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000143105,"about_ca_system_score_gemma":0.0002345809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002482401,"about_ca_topic_score_gemma":0.0000723673,"domain_scores_codex":[0.9981181,0.000004421117,0.0005882881,0.0006470852,0.0001542547,0.0004878216],"domain_scores_gemma":[0.9985741,0.00001530107,0.0007555393,0.0005338448,0.00002531788,0.00009589965],"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":[0.00001954151,0.0001238846,0.001415606,0.0001241835,0.00003731859,0.00001137774,0.0006528017,0.00003579635,0.00003107354,0.9052576,0.08526462,0.007026166],"study_design_scores_gemma":[0.0003590297,0.00005480005,0.001642122,0.0001013292,0.000007277802,5.229745e-7,0.00001285514,0.00002015231,0.00002183991,0.02150891,0.9759222,0.0003489603],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008010429,0.001261543,0.001458761,0.00007226521,0.004002672,0.0003386033,0.0001158028,0.00007696593,0.9918724],"genre_scores_gemma":[0.1174617,0.009266461,0.007867278,0.0002312152,0.004282424,0.00004908651,0.00002931982,0.0005269365,0.8602856],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8906576,"threshold_uncertainty_score":0.9999787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349783866289067,"score_gpt":0.2227996549016398,"score_spread":0.2093018162387491,"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."}}