{"id":"W2083815143","doi":"10.1371/journal.pone.0057132","title":"Addressing Dichotomous Data for Participants Excluded from Trial Analysis: A Guide for Systematic Reviewers","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Hospital for Sick Children; McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Missing data; Meta-analysis; Randomized controlled trial; Protocol (science); MEDLINE; Systematic review; Medicine; Reporting bias; Data extraction; Psychology; Data science; Alternative medicine; Computer science; Surgery; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.102249,0.0004170969,0.0101493,0.0004607976,0.0002504828,0.002077082,0.004378316,0.0001220643,0.004771814],"category_scores_gemma":[0.2272246,0.0002067622,0.002481106,0.001690926,0.00004759048,0.0006803122,0.000301578,0.00009703904,0.00195476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004537803,"about_ca_system_score_gemma":0.00009115878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007393612,"about_ca_topic_score_gemma":0.0001423235,"domain_scores_codex":[0.9708547,0.006574697,0.01460585,0.00180381,0.00557599,0.0005849687],"domain_scores_gemma":[0.9453806,0.02379026,0.01111348,0.0159391,0.003296686,0.0004799106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001756517,0.005554119,0.006269564,0.06026228,0.1171121,0.000006970697,0.002281522,0.0001066944,0.004800337,0.0003763862,0.7964929,0.00498063],"study_design_scores_gemma":[0.01883472,0.0004224464,0.0008716758,0.01736276,0.1658023,6.993978e-7,0.001889953,0.7741531,0.0003387365,0.009482171,0.009492409,0.001349003],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5638494,0.0223478,0.3112429,0.002509,0.0007899451,0.09437135,0.003130596,0.00009595786,0.001663072],"genre_scores_gemma":[0.6860126,0.0001527526,0.2563287,0.001452252,0.001480951,0.02667183,0.001543018,0.0001227202,0.02623517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7870005,"threshold_uncertainty_score":0.9989589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9514042187403585,"score_gpt":0.5811460800279936,"score_spread":0.3702581387123649,"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."}}