{"id":"W2749388036","doi":"10.1177/0022034517725049","title":"Impact of Selection Bias on Treatment Effect Size Estimates in Randomized Trials of Oral Health Interventions: A Meta-epidemiological Study","year":2017,"lang":"en","type":"review","venue":"Journal of Dental Research","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics; University of Alberta","funders":"","keywords":"Selection bias; Meta-analysis; Epidemiology; Randomized controlled trial; Psychological intervention; Medicine; Sample size determination; Oral health; Effect modification; Environmental health; Selection (genetic algorithm); Statistics; Dentistry; Confidence interval; Internal medicine; Computer science; Mathematics; Psychiatry; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch","metaepi_broad","metaepi_narrow"],"domain":"methods","study_design":"meta_analysis","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch","metaepi_narrow","metaepi_broad"],"domain":"methods","study_design":"meta_analysis","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad"],"consensus_categories":["metaresearch","metaepi_broad"],"category_scores_codex":[0.3966984,0.0006344393,0.04049053,0.001241036,0.00009446629,0.00006680262,0.0007997012,0.0004029538,0.0005341789],"category_scores_gemma":[0.9190332,0.000255489,0.01776442,0.000551915,0.0004685759,0.00007477305,0.0001882026,0.001716402,0.00000618795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001341495,"about_ca_system_score_gemma":0.001015337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004981416,"about_ca_topic_score_gemma":0.00006759151,"domain_scores_codex":[0.7887486,0.1932061,0.01505588,0.0004762811,0.001915487,0.0005976062],"domain_scores_gemma":[0.240725,0.7440867,0.01379035,0.0005592316,0.0005505166,0.0002882045],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.05611753,0.009903557,0.000677562,0.01477324,0.03156062,0.00009783376,0.00004973455,0.000004180853,0.000001256548,0.0002918303,0.0003792176,0.8861434],"study_design_scores_gemma":[0.2951093,0.2226424,0.001380991,0.1331023,0.06186797,0.0003510771,0.0001101267,0.00007055094,0.00004966435,0.2839568,0.0006320681,0.0007267734],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007672248,0.9780841,0.0008882897,0.00003158007,0.0003973281,0.01262134,0.0002589594,0.000008245147,0.00003784236],"genre_scores_gemma":[0.002802078,0.9369317,0.05957658,0.000001208208,0.000160267,0.0004215132,0.000002213889,0.0000480612,0.00005631909],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8854166,"threshold_uncertainty_score":0.9999897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9859906141623999,"score_gpt":0.8396295782838669,"score_spread":0.146361035878533,"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."}}