{"id":"W4205230378","doi":"10.1038/s41433-021-01867-6","title":"The 5 min meta-analysis: understanding how to read and interpret a forest plot","year":2022,"lang":"en","type":"editorial","venue":"Eye","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Joseph’s Healthcare Hamilton; McMaster University; Impact","funders":"","keywords":"Forest plot; Plot (graphics); Meta-analysis; Medicine; Optometry; Statistics; 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":[0.1211036,0.005450154,0.01222917,0.007818766,0.003531952,0.01388327,0.00916572,0.01996523,0.01756345],"category_scores_gemma":[0.5480934,0.003651328,0.0090655,0.005842248,0.005466248,0.007847319,0.003023153,0.02727813,0.006529437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005815922,"about_ca_system_score_gemma":0.01077384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007663967,"about_ca_topic_score_gemma":0.02515213,"domain_scores_codex":[0.8696814,0.09015336,0.01763181,0.004114817,0.01745461,0.0009641019],"domain_scores_gemma":[0.2843377,0.6356226,0.01681272,0.008690773,0.04959158,0.004944673],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002909405,0.00002359669,0.0001547901,0.006956632,0.002232838,0.0001615503,0.0001958984,0.0001983651,0.00006854065,0.002162412,0.9680173,0.01953718],"study_design_scores_gemma":[0.002627524,0.0003481194,0.002001897,0.04304688,0.01051011,0.0007052239,0.0005217856,0.005691951,0.0004302478,0.05646037,0.8770936,0.0005624959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002152485,0.05772043,0.01035713,0.1619172,0.7657494,0.0003650472,0.001092935,0.0009719453,0.001610605],"genre_scores_gemma":[0.006054507,0.02223653,0.02592199,0.1699997,0.766311,0.001219231,0.0002989499,0.001299606,0.006658415],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.8788964,"threshold_uncertainty_score":0.6404647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3797436137987807,"score_gpt":0.4995427305465127,"score_spread":0.1197991167477319,"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."}}