{"id":"W4388075741","doi":"10.1016/j.metip.2023.100127","title":"Effect sizes for equivalence testing: Incorporating the equivalence interval","year":2023,"lang":"en","type":"article","venue":"Methods in Psychology","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Institute of Mental Health; Social Sciences and Humanities Research Council of Canada; National Institutes of Health","keywords":"Equivalence (formal languages); Mathematics; Monte Carlo method; Statistics; Interval (graph theory); Statistical hypothesis testing; Applied mathematics; Statistical physics; Econometrics; Combinatorics; Discrete mathematics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1967897,0.002639572,0.004657265,0.008168571,0.001122313,0.005085711,0.004746632,0.005068828,0.01014201],"category_scores_gemma":[0.6456729,0.001320924,0.004723139,0.006674474,0.008847711,0.01143174,0.00778199,0.009799216,0.0008010555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00260573,"about_ca_system_score_gemma":0.002523967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001034183,"about_ca_topic_score_gemma":0.0005688323,"domain_scores_codex":[0.7095691,0.2403283,0.01014176,0.01488427,0.02429185,0.0007848013],"domain_scores_gemma":[0.2277752,0.7278321,0.01022411,0.02727187,0.006100538,0.0007961777],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002611661,0.000337555,0.01353901,0.004089695,0.003945266,0.0004815248,0.002253999,0.05903884,0.002462972,0.3932177,0.005589854,0.512432],"study_design_scores_gemma":[0.001007635,0.002775303,0.008857951,0.001543814,0.001110266,0.0006431707,0.0002898573,0.2478747,0.003659911,0.7132721,0.01864481,0.0003204046],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008020479,0.001846988,0.9837648,0.000803221,0.0002933952,0.0009582299,0.0003760638,0.0004540923,0.003482665],"genre_scores_gemma":[0.2164694,0.0007991539,0.775597,0.0009215558,0.0004243657,0.004519837,0.0003594142,0.000390352,0.0005189482],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8032103,"threshold_uncertainty_score":0.9905013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7565199999694227,"score_gpt":0.7018465159510007,"score_spread":0.05467348401842198,"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."}}