{"id":"W2071030162","doi":"10.1002/cjs.10012","title":"Bootstrap tests for variance components in generalized linear mixed models","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Statistics; Test statistic; Mathematics; Generalized linear mixed model; Random effects model; Null hypothesis; Parametric statistics; Statistical hypothesis testing; Mixed model; Statistic; Score test; Generalized least squares; Econometrics; Variance (accounting); Chi-square test; Applied mathematics; Meta-analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007320065,0.0001615175,0.0004917495,0.0002148803,0.00007604051,0.00005471882,0.0002603563,0.00008807716,0.0000703652],"category_scores_gemma":[0.002604354,0.000148481,0.00006422579,0.0001490486,0.00006730274,0.00009754739,0.000003873272,0.0002368908,0.000002050049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001295658,"about_ca_system_score_gemma":0.0006426494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003903316,"about_ca_topic_score_gemma":0.003186423,"domain_scores_codex":[0.9982723,0.0001283222,0.0008620399,0.0001384626,0.0002011157,0.0003977558],"domain_scores_gemma":[0.9973527,0.001186699,0.0003602828,0.0001704652,0.0004012077,0.0005286119],"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":[0.00004071615,0.00004675627,0.0002157657,0.00004200426,0.00001912399,0.0002460036,0.0001958905,0.0001311548,0.0001535444,0.9694061,0.01027605,0.01922691],"study_design_scores_gemma":[0.0009841258,0.0002339471,0.005373826,0.0001194428,0.00003687217,0.00005161773,0.00002157451,0.02853916,0.00005119451,0.9636935,0.0007291448,0.0001655755],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005664818,0.00006878804,0.9922201,0.0003473728,0.00029925,0.0001903087,0.0009576941,0.000003904866,0.000247771],"genre_scores_gemma":[0.1677625,0.00001123527,0.8318305,0.0002179694,0.0001082472,0.000002250011,0.00000957888,0.00001545685,0.0000422247],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1620977,"threshold_uncertainty_score":0.6054881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1935475800125065,"score_gpt":0.3750452436926864,"score_spread":0.1814976636801798,"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."}}