{"id":"W2804964104","doi":"10.1016/j.jclinepi.2018.05.011","title":"GRADE guidelines: 20. Assessing the certainty of evidence in the importance of outcomes or values and preferences—inconsistency, imprecision, and other domains","year":2018,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":288,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton Health Sciences; University of Ottawa; University of Calgary; McMaster University; Impact","funders":"Canadian Institutes of Health Research; Arthritis Society; McMaster University","keywords":"Certainty; Grading (engineering); Context (archaeology); Confusion; Population; Psychology; Actuarial science; Medicine; Mathematics; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1292265,0.005062013,0.01475344,0.01621945,0.002445396,0.01157426,0.01885093,0.02065986,0.01275048],"category_scores_gemma":[0.5243868,0.006195203,0.03891993,0.01284235,0.00454152,0.005198516,0.008211383,0.01708689,0.008297196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01358139,"about_ca_system_score_gemma":0.01817986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03824387,"about_ca_topic_score_gemma":0.02949619,"domain_scores_codex":[0.671791,0.1625224,0.1144485,0.007087531,0.04198353,0.002167171],"domain_scores_gemma":[0.4699563,0.3384142,0.06124161,0.01531409,0.1119137,0.003160151],"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":[0.003064801,0.0001768065,0.005825731,0.3333119,0.04570537,0.0002788671,0.001455571,0.003318081,0.0007039631,0.02034456,0.4200321,0.1657823],"study_design_scores_gemma":[0.0106784,0.00055072,0.01368934,0.3582364,0.09811718,0.001184241,0.0007372134,0.006986963,0.002541228,0.08388172,0.4220439,0.001352697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.004289783,0.4719194,0.1623073,0.1085283,0.03177734,0.05907033,0.1185826,0.005521999,0.03800299],"genre_scores_gemma":[0.0694039,0.1534061,0.5851539,0.03784857,0.007424604,0.09521426,0.03823665,0.002608425,0.01070354],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8707734,"threshold_uncertainty_score":0.6834234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9641049926163334,"score_gpt":0.7257662943559037,"score_spread":0.2383386982604297,"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."}}