{"id":"W3121290908","doi":"10.1017/asb.2015.19","title":"THE DESIGN OF AN OPTIMAL RETROSPECTIVE RATING PLAN","year":2015,"lang":"en","type":"article","venue":"Astin Bulletin","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Actuarial science; Indemnity; Auto insurance risk selection; Economics; Insurance policy; Liability insurance; Business","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":[0.002479785,0.0006893281,0.0009747517,0.0004402991,0.0003093058,0.001006244,0.0008155024,0.001024507,0.003881205],"category_scores_gemma":[0.004467659,0.000529565,0.000370209,0.0002661242,0.0006176049,0.0009631563,0.0008372428,0.0008710001,0.0003440888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006831468,"about_ca_system_score_gemma":0.00107221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001115677,"about_ca_topic_score_gemma":0.0005298996,"domain_scores_codex":[0.9979431,0.0008979469,0.00009144879,0.0004493358,0.0004013355,0.0002167451],"domain_scores_gemma":[0.9977854,0.0009712616,0.0004596512,0.0001790481,0.0003198807,0.0002848004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008805586,0.0002638549,0.002916534,0.0001755689,0.00006247553,0.0003333549,0.0001660722,0.8269801,0.01809593,0.06015413,0.002045512,0.08792597],"study_design_scores_gemma":[0.00004941202,0.0003093696,0.0004474718,0.00001691854,0.00001830538,0.00006485247,0.00002772797,0.9901232,0.001844344,0.006308646,0.0007740332,0.00001577408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0911094,0.0001731048,0.9034001,0.0003179058,0.00003661033,0.000275972,0.00008061223,0.0002492179,0.004357009],"genre_scores_gemma":[0.8763867,0.0001093335,0.1210642,0.00004970883,0.00002945412,0.0001414386,0.00007033755,0.00002730725,0.002121438],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003881205,"threshold_uncertainty_score":0.01311457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04844713248012029,"score_gpt":0.2173249639266805,"score_spread":0.1688778314465602,"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."}}