{"id":"W4235761710","doi":"10.32920/14636403.v1","title":"Estimating Major Risk Factor Relativities in Rate Filings Using Generalized Linear Models.","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"","keywords":"Benchmark (surveying); Generalized linear model; Econometrics; Computer science; Actuarial science; Machine learning; Economics","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":[0.04104538,0.00112424,0.001555448,0.006771537,0.0007441332,0.003250059,0.001701981,0.00136617,0.002214355],"category_scores_gemma":[0.1621174,0.0006566044,0.002850871,0.005440036,0.001308326,0.003274173,0.002077672,0.003316632,0.0006111705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002197186,"about_ca_system_score_gemma":0.002069679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007901376,"about_ca_topic_score_gemma":0.007436913,"domain_scores_codex":[0.9773712,0.01270182,0.001439589,0.003811446,0.004055677,0.0006202558],"domain_scores_gemma":[0.8109207,0.1433346,0.02776176,0.009914575,0.007155517,0.0009128278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006086422,0.0002915066,0.3580172,0.0008047696,0.002268977,0.0007342725,0.002142465,0.2916633,0.001736319,0.0797897,0.005522054,0.2564208],"study_design_scores_gemma":[0.00002862364,0.0004081684,0.09813675,0.0002398498,0.0004642773,0.0002917493,0.000953336,0.8042489,0.001518598,0.08856004,0.00497623,0.0001734869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3144735,0.001655792,0.6752256,0.001289739,0.0001884719,0.0004854905,0.001637426,0.0008801197,0.004163916],"genre_scores_gemma":[0.9145736,0.0005370276,0.08112513,0.00009306713,0.0001520002,0.0002469426,0.001753624,0.00009612703,0.001422465],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04104538,"threshold_uncertainty_score":0.2170714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2540600876004032,"score_gpt":0.4037611674656109,"score_spread":0.1497010798652078,"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."}}