{"id":"W113727947","doi":"","title":"Credibililty Theory for Generalized Linear and Mixed Models","year":2006,"lang":"en","type":"article","venue":"Spectrum Research Repository (Concordia University)","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Generalized linear model; Generalized linear mixed model; Estimator; Credibility; Econometrics; Mathematics; Credibility theory; Hierarchical generalized linear model; Linear model; Covariate; Generalized estimating equation; Statistical model; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03518607,0.002234661,0.003471063,0.0054378,0.00199413,0.006322715,0.00474203,0.004693805,0.009816201],"category_scores_gemma":[0.1667691,0.001733458,0.003267862,0.004646023,0.008412603,0.009352558,0.005001253,0.008869389,0.0014504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004846982,"about_ca_system_score_gemma":0.00291744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004886854,"about_ca_topic_score_gemma":0.00324745,"domain_scores_codex":[0.9766719,0.0153474,0.0008613326,0.002303887,0.004133919,0.0006814887],"domain_scores_gemma":[0.7716817,0.2027873,0.009017106,0.008062872,0.006761396,0.001689606],"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":[0.00002663174,0.00002139953,0.0004777462,0.00009968886,0.00006429912,0.00009445338,0.0001805583,0.02381845,0.0001001349,0.9652323,0.0008920321,0.008992339],"study_design_scores_gemma":[0.00001286723,0.00001642084,0.0001545935,0.00006116254,0.00001564166,0.00004569814,0.00002368641,0.1243865,0.00005716513,0.87376,0.001449572,0.00001656691],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005181793,0.001499283,0.9863036,0.001648763,0.00008125391,0.00006189789,0.000218721,0.0001321064,0.004872674],"genre_scores_gemma":[0.5182989,0.008803903,0.4505548,0.002105676,0.002206447,0.001827354,0.001400885,0.0004017005,0.01440035],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03518607,"threshold_uncertainty_score":0.1860839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0424995407842404,"score_gpt":0.2879464572808142,"score_spread":0.2454469164965739,"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."}}