{"id":"W4289938702","doi":"10.1016/j.jclinepi.2022.07.015","title":"GRADE guidance 35: update on rating imprecision for assessing contextualized certainty of evidence and making decisions","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":153,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Rehabilitation Institute; University Health Network; University of Toronto; McMaster University; Impact; Cochrane","funders":"Manchester Biomedical Research Centre; National Institute for Health and Care Research","keywords":"Operationalization; Certainty; Computer science; Psychology; Actuarial science; Management science; Applied psychology; Engineering; Mathematics; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6942047,0.0002527965,0.01119585,0.0004079097,0.0003634955,0.0001191407,0.001881175,0.0002065889,0.001040215],"category_scores_gemma":[0.921927,0.0001134755,0.004069716,0.0006224039,0.0002325725,0.0002734513,0.000422035,0.001132442,0.00001372238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004226915,"about_ca_system_score_gemma":0.0002286305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003612283,"about_ca_topic_score_gemma":0.000004203354,"domain_scores_codex":[0.6965685,0.2079859,0.08775525,0.001649664,0.00536898,0.0006716666],"domain_scores_gemma":[0.1495806,0.7812628,0.06482368,0.001903871,0.002124858,0.0003041713],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001057283,0.0002910675,0.2327428,0.00006537126,0.0005372089,0.00002528635,0.000244636,0.01007607,0.0002835213,0.02256663,0.1026245,0.6294857],"study_design_scores_gemma":[0.003423698,0.002914465,0.1840021,0.001982458,0.0008254399,0.0003652121,0.002180356,0.184653,0.00001847939,0.4184987,0.2006595,0.0004765455],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5164264,0.004988945,0.4578756,0.01805382,0.00186939,0.0006154552,0.00002082919,0.000002611522,0.0001468807],"genre_scores_gemma":[0.88798,0.0003721167,0.106384,0.004837887,0.0002418515,0.00001487171,9.350155e-7,0.00001067582,0.000157672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6290091,"threshold_uncertainty_score":0.999873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.973894413027669,"score_gpt":0.7439502973849873,"score_spread":0.2299441156426817,"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."}}