{"id":"W3185087900","doi":"10.1007/s40314-024-03037-2","title":"Scale-mixture Birnbaum-Saunders quantile regression models applied to personal accident insurance data","year":2024,"lang":"en","type":"article","venue":"Computational and Applied Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Quantile; Statistics; Skewness; Econometrics; Quantile regression; Computer science; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003148817,0.0002791901,0.0003303995,0.0001125342,0.0002713755,0.0002443356,0.0003478014,0.0001135327,0.0001397773],"category_scores_gemma":[0.00009096714,0.0002102462,0.00004669367,0.0004121187,0.0001154313,0.0001486059,0.0002694231,0.0002366179,0.0002024522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005230526,"about_ca_system_score_gemma":0.00008000519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001087733,"about_ca_topic_score_gemma":0.000002275595,"domain_scores_codex":[0.9980479,0.00001341448,0.0005280977,0.0005980367,0.0005561882,0.0002563228],"domain_scores_gemma":[0.9981492,0.00104282,0.0001034266,0.0003909985,0.00009436527,0.0002192529],"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":[0.00001387591,0.000166857,0.000002593767,0.0004092638,0.0000381181,0.000001956673,0.001106949,0.001619273,0.0002090865,0.9664989,0.01908158,0.01085159],"study_design_scores_gemma":[0.0001944054,0.000008085144,0.0002089777,0.0001405688,0.0000390293,0.00002083534,0.0003939827,0.3669866,0.00007236931,0.6310898,0.0006237318,0.0002216031],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01550706,0.00006743849,0.9761629,0.001484014,0.00008533875,0.0006700232,0.0007882798,0.0003370843,0.004897863],"genre_scores_gemma":[0.7291092,0.000009148917,0.2696564,0.0002371585,0.00007711154,0.0001277989,0.0005857684,0.00003525022,0.0001620624],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7136022,"threshold_uncertainty_score":0.857359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042739501257021,"score_gpt":0.3686497270214103,"score_spread":0.2643757768957082,"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."}}