{"id":"W2127084139","doi":"10.2307/3316037","title":"Modeling of rates over a hierarchical health administrative structure","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pooling; Hierarchy; Inference; Random effects model; Statistics; Hierarchical database model; Econometrics; Distribution (mathematics); Computer science; Mathematics; Data mining; Artificial intelligence; Medicine; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003791336,0.0001397977,0.0004671087,0.0001705803,0.00009535257,0.00003696683,0.0001854501,0.0000695239,0.0006082358],"category_scores_gemma":[0.002376755,0.0001172583,0.00005065362,0.0001680593,0.0001642597,0.0000589852,0.000007482354,0.0003771366,7.082702e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001093831,"about_ca_system_score_gemma":0.002598744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001340774,"about_ca_topic_score_gemma":0.012222,"domain_scores_codex":[0.9983941,0.0001663479,0.0007721156,0.0001044601,0.0002405397,0.0003224276],"domain_scores_gemma":[0.997528,0.0008434369,0.000370784,0.0001315381,0.0003889909,0.0007372756],"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":[0.00004246723,0.00002384019,0.001528997,0.0001229972,0.00005956803,0.0003047299,0.001082072,0.0000534811,0.00003276037,0.9778816,0.002728603,0.0161389],"study_design_scores_gemma":[0.000332132,0.0004255256,0.001342528,0.0001871821,0.00003513053,0.0002231805,0.0002552028,0.01294355,0.00003626305,0.9838012,0.0002908107,0.0001272923],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0173414,0.0001292305,0.9802161,0.0003223255,0.0001753512,0.00008385475,0.001483304,0.000002568025,0.0002459066],"genre_scores_gemma":[0.4156568,0.0000232813,0.5841248,0.00009770858,0.00006777274,2.901974e-7,0.000003782974,0.00001141004,0.00001417465],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3983154,"threshold_uncertainty_score":0.6820165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1019860141397218,"score_gpt":0.3986732542494921,"score_spread":0.2966872401097704,"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."}}