{"id":"W3123893780","doi":"10.1136/bmj.n160","title":"PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews","year":2021,"lang":"en","type":"article","venue":"BMJ","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":10966,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruyère; Public Health Ontario; University of Toronto; St. Michael's Hospital; Queen's University; McMaster University; Impact; Ottawa Hospital; University of Ottawa","funders":"National Eye Institute","keywords":"Systematic review; Terminology; Guideline; Computer science; MEDLINE; Data science; Medicine; Management science; Pathology; Political science","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":["metaresearch"],"category_scores_codex":[0.3413066,0.007820945,0.0126047,0.02161375,0.003148549,0.01258154,0.01226327,0.01364869,0.09261928],"category_scores_gemma":[0.6081385,0.01645808,0.03272811,0.03072639,0.00746639,0.01065236,0.01172353,0.03267622,0.06165393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0101718,"about_ca_system_score_gemma":0.0510065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008750272,"about_ca_topic_score_gemma":0.008334919,"domain_scores_codex":[0.5120799,0.3313168,0.1271282,0.007316272,0.01785942,0.00429937],"domain_scores_gemma":[0.3994769,0.3833256,0.06419344,0.04489495,0.1039517,0.004157381],"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":[0.001676332,0.0002320055,0.0009206843,0.163785,0.002207716,0.0002436838,0.002029312,0.002469475,0.0007943337,0.0134166,0.7424543,0.06977059],"study_design_scores_gemma":[0.01370984,0.0005959455,0.008163382,0.2177773,0.003813791,0.000633492,0.001397724,0.008254697,0.003319599,0.06207591,0.6785883,0.001669973],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00147131,0.01301785,0.3678196,0.04715096,0.02995184,0.282447,0.2233154,0.02395899,0.01086711],"genre_scores_gemma":[0.002409501,0.005566079,0.5432791,0.006467377,0.001044951,0.4106631,0.02406997,0.002636341,0.003863588],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6586934,"threshold_uncertainty_score":0.8122863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7082737831327648,"score_gpt":0.5511930533057039,"score_spread":0.1570807298270609,"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."}}