{"id":"W1971721704","doi":"10.7202/050917ar","title":"Employer Responses to Workers' Compensation Insurance Experience Rating","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incentive; Business; Workers' compensation; Compensation (psychology); Actuarial science; Accident (philosophy); Logit; Accident insurance; Finance; Economics; Econometrics; Microeconomics; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003595064,0.0001475752,0.0002478248,0.000617541,0.0003537548,0.0005615593,0.0002126831,0.0006793455,0.004293715],"category_scores_gemma":[0.02856047,0.00014936,0.0002414763,0.0005653918,0.0002239209,0.0001771352,0.0005111856,0.0004665454,0.0005989319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006630427,"about_ca_system_score_gemma":0.000515733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0263441,"about_ca_topic_score_gemma":0.02929612,"domain_scores_codex":[0.9948376,0.003029462,0.000292047,0.000341999,0.001109274,0.0003894693],"domain_scores_gemma":[0.9525459,0.02406541,0.01560277,0.002453301,0.003528771,0.001803896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000351526,0.0002506421,0.9736944,0.00005725035,0.00005631087,0.00009757941,0.00164299,0.0008029466,0.0007500949,0.0001316429,0.001365359,0.02079925],"study_design_scores_gemma":[0.00001372673,0.0002083368,0.9963331,0.00001192467,0.000009850498,0.00002890411,0.001126288,0.0007276252,0.0001923473,0.00004202769,0.001294543,0.00001131623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956943,0.00004778846,0.0002461813,0.0002490811,0.000009619846,0.00007115165,0.0006884115,0.00001173485,0.002981798],"genre_scores_gemma":[0.9973987,0.00004128351,0.0001545212,0.00009898529,0.00001000643,0.00003811142,0.000442097,0.000001770621,0.001814561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0263441,"threshold_uncertainty_score":0.05238152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04793733570148177,"score_gpt":0.2569271900123327,"score_spread":0.2089898543108509,"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."}}