{"id":"W286144001","doi":"","title":"Insurance Regulation and the Composition of Insurance Markets","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Wilfrid Laurier University","funders":"","keywords":"Property insurance; Unintended consequences; Business; Government (linguistics); General insurance; Economic interventionism; Population; Distribution (mathematics); Insurance policy; Actuarial science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001605748,0.0001084397,0.0003680331,0.001547539,0.001365723,0.002624984,0.0007783122,0.0004778183,0.004808609],"category_scores_gemma":[0.01161061,0.0002400352,0.000492092,0.001359918,0.001824729,0.0006938802,0.0009972707,0.0006061915,0.0001936067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008520716,"about_ca_system_score_gemma":0.009850898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6564658,"about_ca_topic_score_gemma":0.7133336,"domain_scores_codex":[0.9976122,0.0003242083,0.00008137987,0.0002345868,0.0008176959,0.0009299525],"domain_scores_gemma":[0.992228,0.00191836,0.002970003,0.0003807474,0.001245821,0.001257116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002238297,0.0001792731,0.9294536,0.00005040961,0.0001370435,0.0003722183,0.001704692,0.008243899,0.002232342,0.03601048,0.001945698,0.01944645],"study_design_scores_gemma":[0.00004205073,0.00003937903,0.9738508,0.00003912725,0.00003756656,0.000117206,0.002118518,0.013135,0.0003867706,0.00508295,0.005124304,0.00002629132],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865606,0.0003222402,0.0009406561,0.0005571412,0.000006779047,0.00005171966,0.0003314343,0.00001603241,0.01121353],"genre_scores_gemma":[0.998614,0.00009034319,0.00020597,0.00003507892,0.000003199677,0.000005745238,0.0001285382,0.000003741105,0.0009134813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6564658,"threshold_uncertainty_score":0.6911146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008761940556815728,"score_gpt":0.1963726724785523,"score_spread":0.1876107319217366,"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."}}