{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1236957,0.004063241,0.005953072,0.009161771,0.002311857,0.004771356,0.007545823,0.003840363,0.18181],"category_scores_gemma":[0.4887137,0.001938125,0.005355183,0.01062992,0.004731193,0.003605359,0.005096174,0.009211732,0.02930566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004182923,"about_ca_system_score_gemma":0.01337198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009145883,"about_ca_topic_score_gemma":0.001360541,"domain_scores_codex":[0.7555405,0.1753288,0.02326448,0.01269715,0.03116589,0.002003203],"domain_scores_gemma":[0.6120523,0.2733415,0.01929415,0.06059811,0.0323922,0.002321726],"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":[0.005535104,0.001212362,0.001801294,0.0183479,0.003524636,0.0005842118,0.002903709,0.007226155,0.001549562,0.2004094,0.2821465,0.4747592],"study_design_scores_gemma":[0.003633231,0.003708475,0.004495134,0.01317375,0.001771732,0.0008436457,0.00134745,0.02472673,0.00565618,0.3129317,0.6273056,0.0004063686],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003592915,0.002639968,0.8195508,0.003259295,0.006506133,0.0959591,0.02365707,0.005807318,0.0390274],"genre_scores_gemma":[0.01915655,0.001610601,0.7155472,0.001365798,0.0007549,0.24783,0.003611524,0.001459048,0.008664423],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.18181,"threshold_uncertainty_score":0.6541733,"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."}}