{"id":"W2620826610","doi":"10.1016/j.jclinepi.2017.05.017","title":"A systematic survey on reporting and methods for handling missing participant data for continuous outcomes in randomized controlled trials","year":2017,"lang":"en","type":"review","venue":"Journal of Clinical Epidemiology","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; McMaster University; Impact","funders":"","keywords":"Missing data; Randomized controlled trial; Medicine; Interquartile range; Imputation (statistics); MEDLINE; Clinical trial; Statistics; Surgery; Internal medicine; Mathematics","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"],"domain":"methods","study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch","metaepi_broad"],"domain":"methods","study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4074113,0.002865523,0.01570244,0.01490694,0.001505576,0.007779796,0.00629167,0.008212206,0.004629868],"category_scores_gemma":[0.7438943,0.004556388,0.01808397,0.01450716,0.005241066,0.01042847,0.00578855,0.01370496,0.0009262856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01087722,"about_ca_system_score_gemma":0.04139325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009930172,"about_ca_topic_score_gemma":0.01379278,"domain_scores_codex":[0.4924656,0.2835225,0.1702546,0.00766639,0.04424607,0.001844971],"domain_scores_gemma":[0.1613685,0.735537,0.05761633,0.0154881,0.02847692,0.001513101],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.001811466,0.00008485567,0.00199144,0.5956739,0.02969292,0.00008400899,0.001002647,0.001188792,0.000292501,0.008132471,0.01860488,0.3414401],"study_design_scores_gemma":[0.002305611,0.0006070937,0.003911572,0.8570258,0.06932437,0.0004511784,0.0003455975,0.001333713,0.0006350366,0.01870247,0.0450834,0.0002742299],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00117117,0.9523107,0.03015415,0.007993059,0.001235226,0.004389325,0.00162958,0.0001795248,0.0009372088],"genre_scores_gemma":[0.02006837,0.8556011,0.09838827,0.008693773,0.0009407903,0.01423913,0.001491664,0.0001901863,0.0003868513],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5925887,"threshold_uncertainty_score":0.7307674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9405744797648787,"score_gpt":0.763690149918479,"score_spread":0.1768843298463997,"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."}}