{"id":"W2093651162","doi":"10.1080/03610920008832539","title":"A multiple comparisons procedure for detecting differences between treatments and a control in two-factor experiments","year":2000,"lang":"en","type":"article","venue":"Communication in Statistics- Theory and Methods","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Statistics; Confidence interval; Statistic; Test (biology); Mathematics; Control (management); Test statistic; Multiple comparisons problem; Factor (programming language); Computer science; Statistical hypothesis testing; Artificial intelligence","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":[0.03754745,0.004074665,0.00383117,0.004558299,0.001801852,0.001793171,0.004185848,0.00321529,0.01622399],"category_scores_gemma":[0.07854974,0.001185242,0.003623081,0.005200472,0.00368715,0.002856216,0.003008163,0.007776076,0.002637128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00152822,"about_ca_system_score_gemma":0.003441753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005451899,"about_ca_topic_score_gemma":0.0007163467,"domain_scores_codex":[0.9455193,0.03155847,0.003131897,0.006276497,0.01278192,0.0007319401],"domain_scores_gemma":[0.9357012,0.04739638,0.004735458,0.008453459,0.003124827,0.0005886746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.005369905,0.002499518,0.002485323,0.009113338,0.002182961,0.0006609794,0.001560754,0.01094489,0.1071446,0.1562581,0.03231411,0.6694655],"study_design_scores_gemma":[0.004833077,0.05338917,0.02650398,0.001869829,0.002818644,0.002496328,0.001053479,0.1114164,0.2152932,0.3442473,0.2342574,0.001821268],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004112093,0.0004668986,0.9867806,0.0001860636,0.0008210276,0.002866133,0.0007308721,0.00114805,0.002888379],"genre_scores_gemma":[0.02049861,0.0005321926,0.9598312,0.0002527853,0.0001598139,0.01662613,0.0004448027,0.0002285821,0.001425965],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03754745,"threshold_uncertainty_score":0.1985723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2247765947949426,"score_gpt":0.5454785967800768,"score_spread":0.3207020019851342,"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."}}