{"id":"W2071412894","doi":"10.1177/0962280211416038","title":"Measuring continuous baseline covariate imbalances in clinical trial data","year":2011,"lang":"en","type":"article","venue":"Statistical Methods in Medical Research","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Brain Institute","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Covariate; Statistics; Baseline (sea); Analysis of covariance; Test statistic; Statistic; Type I and type II errors; Econometrics; Mathematics; Medicine; Statistical hypothesis testing","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3103096,0.001315725,0.003569581,0.005166457,0.001046313,0.00432577,0.002693407,0.002942249,0.002666901],"category_scores_gemma":[0.683863,0.0007374286,0.003261817,0.006775768,0.003596868,0.004499866,0.003845204,0.004723424,0.0006084133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002192752,"about_ca_system_score_gemma":0.003731644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003324308,"about_ca_topic_score_gemma":0.0003095867,"domain_scores_codex":[0.472866,0.4480652,0.02849231,0.01094498,0.03834156,0.001289915],"domain_scores_gemma":[0.2220623,0.6832494,0.05282569,0.02902196,0.0117584,0.001082295],"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":[0.008741953,0.0005276209,0.1300089,0.008833127,0.01120252,0.0007343953,0.002893327,0.05322548,0.003065891,0.1022937,0.01355499,0.6649181],"study_design_scores_gemma":[0.005340507,0.009943597,0.09824944,0.005274944,0.005276881,0.004172725,0.0009658182,0.1501186,0.01168382,0.6513625,0.05658872,0.001022477],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0302913,0.009639495,0.9484065,0.003899181,0.0006281297,0.00227207,0.001988536,0.000511408,0.002363293],"genre_scores_gemma":[0.4980933,0.004469672,0.4772371,0.003315481,0.001272763,0.0117481,0.002624502,0.0003542175,0.000884852],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6896905,"threshold_uncertainty_score":0.8505111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9591079010063465,"score_gpt":0.7651604513098256,"score_spread":0.1939474496965209,"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."}}