{"id":"W4390746736","doi":"10.1016/j.insmatheco.2023.12.007","title":"Tweedie multivariate semi-parametric credibility with the exchangeable correlation","year":2024,"lang":"en","type":"article","venue":"Insurance Mathematics and Economics","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Credibility; Multivariate statistics; Econometrics; Parametric statistics; Credibility theory; Distribution (mathematics); Multivariate analysis; Computer science; Mathematics; Statistics; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002942353,0.0001398571,0.0002652331,0.0001168325,0.0002052945,0.0006076688,0.0003113016,0.00007909237,0.00004252094],"category_scores_gemma":[0.0004477682,0.00007250872,0.00006254854,0.000416259,0.000185018,0.0004238024,0.00009287148,0.000178688,0.000121442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004445303,"about_ca_system_score_gemma":0.00005472033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004345179,"about_ca_topic_score_gemma":0.00009075505,"domain_scores_codex":[0.9986989,0.00003877216,0.0004546659,0.0004166594,0.0002002391,0.000190787],"domain_scores_gemma":[0.9970834,0.002095803,0.0001443897,0.0005236873,0.00008839762,0.00006429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002283569,0.0006758997,0.04571424,0.0008570327,0.0003680963,0.00001833855,0.03642909,0.2512889,0.0001118187,0.3783096,0.005755229,0.2802434],"study_design_scores_gemma":[0.0001243702,0.00003374791,0.005514915,0.00003262948,0.00001157405,0.00001382887,0.0003175666,0.7221593,0.00002268881,0.2682592,0.003399174,0.0001109267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9303284,0.0008273112,0.06433488,0.001233595,0.000316022,0.0002956859,0.00004877427,0.0000477402,0.002567642],"genre_scores_gemma":[0.9946588,0.0001801645,0.004362581,0.00006646882,0.00006966027,0.00002192114,0.000001524479,0.0000121908,0.0006266578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4708705,"threshold_uncertainty_score":0.5859764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0943639235838898,"score_gpt":0.3183895340173464,"score_spread":0.2240256104334566,"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."}}