{"id":"W3212388762","doi":"10.3390/jrfm14110554","title":"The Effects of ERM Adoption on European Insurance Firms Performance and Risks","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Endogeneity; Diversification (marketing strategy); Systematic risk; Leverage (statistics); Business risks; Risk management; Payment; Dividend; Operational risk; Enterprise risk management; Corporate finance; Accounting; Actuarial science; Finance; Economics; Econometrics; Risk analysis (engineering); Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009600341,0.000189681,0.0002791519,0.0002026592,0.0003960475,0.0001913059,0.0002353098,0.0000400093,0.000003079065],"category_scores_gemma":[0.0003765804,0.0001379959,0.00009620915,0.0004094935,0.0001046075,0.0005037729,0.00029145,0.0002668087,0.00001344014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001936892,"about_ca_system_score_gemma":0.000009457057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002464461,"about_ca_topic_score_gemma":0.00001579356,"domain_scores_codex":[0.9986216,0.00004845963,0.0005194665,0.0002052897,0.0003737063,0.0002314657],"domain_scores_gemma":[0.9986613,0.0001316162,0.0007684842,0.0002307085,0.0001888663,0.00001906493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002246305,0.0001212084,0.08503455,0.0007681894,0.00003873432,0.0001599414,0.00009264638,0.000104558,0.00002909795,0.0231455,0.002023823,0.8882571],"study_design_scores_gemma":[0.0009587598,0.000109241,0.8273289,0.0003955539,0.0001253271,0.000004868857,0.00009692019,0.00008054681,0.00004765137,0.002082797,0.1686277,0.0001417998],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880984,0.001848867,0.001072532,0.0001594184,0.001170174,0.0002327136,0.000001834632,0.00001455913,0.007401503],"genre_scores_gemma":[0.9726096,0.02599018,0.0002191561,0.0002979511,0.0006762338,0.000004061536,0.000001530488,0.00001971292,0.0001816123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8881153,"threshold_uncertainty_score":0.562731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008117533389610548,"score_gpt":0.1981405974094314,"score_spread":0.1900230640198209,"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."}}