{"id":"W2047586716","doi":"10.1016/j.jclinepi.2012.01.012","title":"GRADE guidelines: 12. Preparing Summary of Findings tables—binary outcomes","year":2012,"lang":"en","type":"review","venue":"Journal of Clinical Epidemiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":846,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Work & Health; McMaster University","funders":"","keywords":"Observational study; Relative risk; Confidence interval; Absolute risk reduction; Point estimation; Randomized controlled trial; Medicine; Meta-analysis; Statistics; Baseline (sea); Mathematics; Internal medicine","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":[],"category_scores_codex":[0.04625636,0.00361041,0.008055572,0.01173703,0.001227665,0.008737769,0.007895383,0.008736948,0.1820094],"category_scores_gemma":[0.339468,0.005848205,0.0195472,0.01441955,0.001395932,0.004694363,0.005033844,0.007131267,0.07165182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003304844,"about_ca_system_score_gemma":0.01709411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01375873,"about_ca_topic_score_gemma":0.01953928,"domain_scores_codex":[0.9270797,0.03216585,0.02833363,0.00171834,0.009402669,0.001299766],"domain_scores_gemma":[0.6855569,0.1494611,0.04143204,0.01118538,0.1090398,0.003324747],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007193033,0.00007141962,0.0009272681,0.1079049,0.001752404,0.00006971856,0.0001947226,0.0005441374,0.000267951,0.002245172,0.8284199,0.05688298],"study_design_scores_gemma":[0.006022088,0.000246755,0.00611263,0.1193705,0.005707025,0.0002898856,0.000238271,0.001221248,0.001559571,0.01622065,0.8426509,0.0003604978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.00125448,0.0207329,0.06535011,0.03716204,0.01231169,0.07320821,0.7428834,0.01688607,0.03021102],"genre_scores_gemma":[0.01100947,0.02565491,0.5225995,0.01750719,0.003701193,0.1828724,0.1901133,0.007857745,0.03868431],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9537436,"threshold_uncertainty_score":0.6088822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9676604359397987,"score_gpt":0.7295634591413548,"score_spread":0.2380969767984439,"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."}}