{"id":"W1548446118","doi":"","title":"An Examination of Property & Casualty Insurer Solvency in Canada","year":2009,"lang":"en","type":"article","venue":"Journal of Insurance Issues","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Insolvency; Solvency; Actuarial science; Logistic regression; Liability; Business; Capital requirement; Economics; Finance; Market liquidity; Statistics; Mathematics","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":[0.000837218,0.0001248006,0.0002484105,0.003478518,0.003878396,0.001951516,0.0006996238,0.00039637,0.003104639],"category_scores_gemma":[0.006226858,0.0001490778,0.0003339181,0.004717883,0.001153167,0.000505452,0.001154559,0.0007463956,0.0001076163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03475387,"about_ca_system_score_gemma":0.03018009,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9892809,"about_ca_topic_score_gemma":0.9950429,"domain_scores_codex":[0.9986651,0.00006279309,0.00004711478,0.0000728771,0.0007005446,0.0004515591],"domain_scores_gemma":[0.9931448,0.0008711595,0.001549939,0.00008797045,0.002882659,0.001463539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009915722,0.00009634424,0.943219,0.00006771382,0.00004065944,0.0005828205,0.02265765,0.0005698876,0.0006374671,0.00317557,0.003466326,0.02538734],"study_design_scores_gemma":[0.000002205966,0.00001722597,0.9794271,0.00002729311,0.000008091746,0.00009593763,0.01571616,0.0005987685,0.00009722359,0.00006583166,0.003928932,0.00001521166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914176,0.0003022123,0.00004641365,0.0007356395,0.000004919379,0.00001473081,0.000516747,0.000005480092,0.006956066],"genre_scores_gemma":[0.9981329,0.0003170982,0.00005088763,0.00007048849,0.00000384549,0.000003014853,0.0002425778,0.000002356157,0.001176904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03475387,"threshold_uncertainty_score":0.2521582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02087660717801303,"score_gpt":0.2342542068452375,"score_spread":0.2133775996672244,"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."}}