{"id":"W1736389262","doi":"10.1002/0470013192.bsa420","title":"Multiple Comparison Procedures","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistics in Behavioral Science","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Manitoba","funders":"","keywords":"Pairwise comparison; Variance (accounting); Homogeneity (statistics); Statistics; Analysis of variance; Normality; Multiple comparisons problem; Mathematics; Simple (philosophy); Variance components; Computer science; Econometrics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1045344,0.00433996,0.005061014,0.008917425,0.002566067,0.004923424,0.007911691,0.003728063,0.1817814],"category_scores_gemma":[0.4254962,0.001977129,0.004348346,0.01032092,0.004248026,0.003607884,0.005293093,0.00896072,0.03014594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004177778,"about_ca_system_score_gemma":0.01223175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009281319,"about_ca_topic_score_gemma":0.001527932,"domain_scores_codex":[0.806559,0.1330769,0.01886791,0.01094232,0.02863241,0.001921522],"domain_scores_gemma":[0.6600644,0.2308292,0.01674571,0.05372053,0.03614888,0.002491395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004523969,0.001362805,0.001640614,0.01383522,0.002462,0.0005761642,0.003170324,0.005890568,0.001912108,0.1866925,0.2721742,0.5057595],"study_design_scores_gemma":[0.00279505,0.003524346,0.004792621,0.01015916,0.001321952,0.0008373304,0.001586204,0.02069585,0.006710228,0.2624823,0.6847048,0.0003902385],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004055665,0.002405438,0.8263298,0.002671503,0.005661333,0.08617799,0.02026556,0.006252392,0.04618027],"genre_scores_gemma":[0.0171352,0.001452333,0.7552322,0.001048165,0.0005660458,0.2100852,0.003233538,0.001424112,0.009823245],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1817814,"threshold_uncertainty_score":0.6081192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3089900183529948,"score_gpt":0.5481415482586365,"score_spread":0.2391515299056417,"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."}}