{"id":"W4317892506","doi":"10.1093/jrsssa/qnac010","title":"Multivariate claim count regression model with varying dispersion and dependence parameters","year":2023,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series A (Statistics in Society)","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Overdispersion; Poisson regression; Multivariate statistics; Econometrics; Statistics; Mathematics; Dispersion (optics); Count data; Bivariate analysis; Poisson distribution; Regression; Population","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":[0.01788349,0.001358642,0.002462712,0.002440128,0.0006339393,0.002243354,0.004979996,0.003217946,0.004141863],"category_scores_gemma":[0.03707451,0.001081365,0.001825586,0.00354163,0.002069735,0.003191381,0.001980569,0.004159498,0.0009046148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002049968,"about_ca_system_score_gemma":0.001075714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0142966,"about_ca_topic_score_gemma":0.006352984,"domain_scores_codex":[0.9935344,0.003851164,0.0002871993,0.001241486,0.0006997109,0.0003859274],"domain_scores_gemma":[0.9624558,0.02843903,0.004584314,0.002311875,0.00179882,0.0004102091],"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":[0.0004471943,0.0002761364,0.0167984,0.0001639269,0.0003004284,0.0006771909,0.0005331141,0.7512937,0.002402964,0.196644,0.001989692,0.02847326],"study_design_scores_gemma":[0.00003351905,0.00003678031,0.002023964,0.0000191772,0.00003744851,0.00007966009,0.00002859701,0.9743988,0.0002048864,0.0226697,0.0004369232,0.00003058523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1731788,0.0004684162,0.8206929,0.001592209,0.0000429501,0.0001409084,0.001296623,0.0006814435,0.001905799],"genre_scores_gemma":[0.9004822,0.0005256853,0.08796317,0.0002306498,0.000140863,0.0004173595,0.00156365,0.0001726173,0.008503681],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01788349,"threshold_uncertainty_score":0.09457809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04626687223989741,"score_gpt":0.3391948264382115,"score_spread":0.2929279541983141,"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."}}