{"id":"W2911723635","doi":"10.1002/9781118445112.stat06351","title":"Multiple Comparison Procedures","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Manitoba","funders":"","keywords":"Pairwise comparison; Variance (accounting); Statistics; Normality; Analysis of variance; Homogeneity (statistics); Multiple comparisons problem; Mathematics; Simple (philosophy); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001315937,0.001204637,0.003066535,0.000409723,0.0001327012,0.0001288521,0.001191135,0.001193544,0.008691362],"category_scores_gemma":[0.1177486,0.001047042,0.0001786644,0.0003450894,0.0008901372,0.00003693172,0.0003643674,0.001633845,0.0008555491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001383092,"about_ca_system_score_gemma":0.0004644006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001584725,"about_ca_topic_score_gemma":0.002256174,"domain_scores_codex":[0.9923339,0.001175477,0.002536915,0.001461984,0.001396882,0.00109479],"domain_scores_gemma":[0.9607516,0.03433708,0.002203898,0.001689509,0.0004074128,0.0006105069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009741777,0.0008047564,0.0002227876,0.001588937,0.0002408783,0.00002804124,0.00003804809,0.000002051047,0.00001165431,0.163305,0.8101692,0.02349117],"study_design_scores_gemma":[0.001575606,0.0004170251,0.00007505689,0.001863178,0.0004431038,0.000005636217,0.00004933807,0.001692663,0.00001559367,0.5803229,0.4123423,0.001197556],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000009825079,0.0004610817,0.8757686,0.00009109583,0.001454362,0.00149987,0.06057211,0.0009888856,0.05915416],"genre_scores_gemma":[0.0001734339,0.0009402405,0.8437506,0.0002353442,0.001306441,0.0001092405,0.001727291,0.001318317,0.1504391],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4170179,"threshold_uncertainty_score":0.9999224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.481149776638878,"score_gpt":0.5500234040775236,"score_spread":0.06887362743864561,"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."}}