{"id":"W1485536751","doi":"10.1111/j.1539-6975.2013.12012.x","title":"<scp>S</scp><scp>OLVENCY</scp> A<scp>NALYSIS AND</scp> P<scp>REDICTION IN</scp> P<scp>ROPERTY</scp>–<scp>C</scp><scp>ASUALTY</scp> I<scp>NSURANCE</scp>: I<scp>NCORPORATING</scp> E<scp>CONOMIC AND</scp> M<scp>ARKET</scp> P<scp>REDICTORS</scp>","year":2013,"lang":"en","type":"article","venue":"Journal of Risk & Insurance","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Insolvency; Solvency; Leverage (statistics); Business; Cash flow; Monetary economics; Economics; Actuarial science; Market liquidity; Finance; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00106278,0.0002749785,0.0004816022,0.002524607,0.0005557794,0.002655808,0.0008907905,0.0006885903,0.1297971],"category_scores_gemma":[0.0123723,0.0002055111,0.0007503751,0.002422351,0.0005065403,0.001130516,0.00116707,0.001155303,0.02215607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001741611,"about_ca_system_score_gemma":0.002529892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06334341,"about_ca_topic_score_gemma":0.05632193,"domain_scores_codex":[0.998744,0.0001154766,0.00009220815,0.0002510152,0.0005937899,0.0002036951],"domain_scores_gemma":[0.9895332,0.003088198,0.001692038,0.0007910687,0.004187885,0.000707582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003655592,0.0003522984,0.3033264,0.0003423027,0.0003085711,0.0006963622,0.0002832004,0.02299293,0.001621899,0.02139299,0.5243006,0.1240169],"study_design_scores_gemma":[0.00008888227,0.00016428,0.6965368,0.0003499146,0.0001732391,0.0005405667,0.002097731,0.09466557,0.006500508,0.01748442,0.1812591,0.0001390344],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3260731,0.001235678,0.02089407,0.02249218,0.002606272,0.0005929929,0.2189584,0.003979375,0.4031679],"genre_scores_gemma":[0.8903966,0.000535532,0.002462646,0.0009254367,0.0003117291,0.0001744654,0.04049888,0.0004048893,0.06428983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1297971,"threshold_uncertainty_score":0.4342147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447419822692725,"score_gpt":0.2073727521507677,"score_spread":0.1928985539238404,"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."}}