{"id":"W2048605164","doi":"10.1002/1097-0258(20000915/30)19:17/18<2421::aid-sim579>3.0.co;2-c","title":"Parametric bootstrap and penalized quasi-likelihood inference in conditional autoregressive models","year":2000,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada); Simon Fraser University; British Columbia Centre of Excellence for Women's Health","funders":"","keywords":"Autoregressive model; Inference; Econometrics; Parametric statistics; Computer science; Parametric model; Statistics; Maximum likelihood; Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008352327,0.0002212998,0.0005865999,0.0002866866,0.00004521623,0.00001793553,0.0001507311,0.0001056818,0.003069176],"category_scores_gemma":[0.008309751,0.0001797371,0.00001423389,0.0003807888,0.0004451529,0.00007333208,0.000027343,0.0004049159,0.00001158752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006174616,"about_ca_system_score_gemma":0.0000922674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003653014,"about_ca_topic_score_gemma":0.0001397503,"domain_scores_codex":[0.9978747,0.0002515408,0.0007033557,0.0003457509,0.0004490599,0.0003756366],"domain_scores_gemma":[0.9906087,0.008789413,0.0001248552,0.0002095792,0.0001041568,0.0001632937],"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":[0.00006257019,0.0001619926,0.001115673,0.0001176931,0.00001237959,0.0001369363,0.0008718945,0.00005522773,0.00001037955,0.9436687,0.0009022594,0.05288424],"study_design_scores_gemma":[0.001782686,0.0002610926,0.0120327,0.0003059354,0.00002545961,0.000009828171,0.0001517299,0.08695799,0.000005457627,0.8982112,0.00007529736,0.0001806592],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04347994,0.0002808548,0.9488088,0.0003049714,0.0001009231,0.0003892409,0.000489463,0.00003413235,0.00611166],"genre_scores_gemma":[0.6543342,0.000313285,0.3448744,0.0001812001,0.00004811341,0.00004273478,0.00004977994,0.00001641777,0.0001398749],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6108543,"threshold_uncertainty_score":0.9978421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1118553900405253,"score_gpt":0.4324064384344881,"score_spread":0.3205510483939627,"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."}}