{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002826587,0.00009620373,0.0002450331,0.00009666734,0.0001810283,0.00002527148,0.000135606,0.0000479058,0.00001408227],"category_scores_gemma":[0.0000389902,0.0000809858,0.0000809155,0.0001628715,0.0001094018,0.0003987522,0.00002557761,0.0004407557,0.00003479155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001568424,"about_ca_system_score_gemma":0.00003798068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006411898,"about_ca_topic_score_gemma":0.00002026449,"domain_scores_codex":[0.9985459,0.00003984105,0.0004427963,0.0001105971,0.00005373112,0.0008071733],"domain_scores_gemma":[0.9992955,0.00003790601,0.00046041,0.0001414819,0.00003497562,0.00002971477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001513527,0.00004092206,0.1877532,0.000009110469,0.0000414868,8.137587e-8,0.000229991,0.00001323377,0.00001434003,0.8003867,0.00002132502,0.01133823],"study_design_scores_gemma":[0.001335471,0.00004474066,0.6370812,0.00001765277,0.000006310727,0.0000344592,0.0001210458,0.0001044138,0.00003366358,0.3584728,0.002642725,0.0001054969],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515036,0.03001514,0.00996218,0.0005374501,0.0003284772,0.0001744515,0.00001361596,0.000007053663,0.007458028],"genre_scores_gemma":[0.9820707,0.01721529,0.00006753088,0.00007373616,0.0001927106,0.000007394159,0.000001915226,0.00001079458,0.0003599753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.449328,"threshold_uncertainty_score":0.3302505,"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."}}