{"id":"W2082004415","doi":"10.1016/j.insmatheco.2014.07.001","title":"On the analysis of time dependent claims in a class of birth process claim count models","year":2014,"lang":"en","type":"article","venue":"Insurance Mathematics and Economics","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Class (philosophy); Count data; Process (computing); Mathematics; Statistics; Econometrics; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01214745,0.002487533,0.004025781,0.004272683,0.001891913,0.005127982,0.004797678,0.005351004,0.006606049],"category_scores_gemma":[0.03929818,0.001520117,0.003782589,0.002794697,0.005074661,0.006919286,0.003796589,0.006241531,0.0005822648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00311977,"about_ca_system_score_gemma":0.002469756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006989418,"about_ca_topic_score_gemma":0.00444831,"domain_scores_codex":[0.9969505,0.001685105,0.0001258841,0.000328798,0.0005303951,0.0003793342],"domain_scores_gemma":[0.9531938,0.03926221,0.003125648,0.0009214288,0.001720547,0.00177636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006592667,0.0001231661,0.001457208,0.0001745174,0.0001329431,0.0002293084,0.0002927314,0.115878,0.0006806772,0.8740534,0.002464375,0.004447819],"study_design_scores_gemma":[0.0000193702,0.00002668413,0.0004195742,0.00004116504,0.00004183551,0.00007221569,0.00004377556,0.7409554,0.0000968907,0.2576683,0.0005864393,0.00002840443],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1489543,0.008351996,0.8111401,0.01113817,0.0004019646,0.0001438152,0.0006133357,0.0003201081,0.01893632],"genre_scores_gemma":[0.8893995,0.009578034,0.05767366,0.001321931,0.002116903,0.0003473579,0.00106466,0.0004158693,0.0380821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01214745,"threshold_uncertainty_score":0.06424266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05703419006138163,"score_gpt":0.2942722022547895,"score_spread":0.2372380121934078,"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."}}