{"id":"W4206385207","doi":"10.1016/j.jclinepi.2022.01.004","title":"Standardized wording to improve efficiency and clarity of GRADE EtD frameworks in health guidelines","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"CLARITY; Grading (engineering); Guideline; Transparency (behavior); Medical education; Process management; Medicine; Computer science; Medical physics; Management science; Engineering; Pathology","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","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1179639,0.000153262,0.003167174,0.0002899987,0.00007899396,0.00000384288,0.0002077174,0.0003010883,0.0001453875],"category_scores_gemma":[0.4631831,0.0001236573,0.0004566317,0.0004071864,0.0001677519,0.00009029009,0.000282994,0.003689391,9.438857e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001605382,"about_ca_system_score_gemma":0.001030261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002877832,"about_ca_topic_score_gemma":0.00004854981,"domain_scores_codex":[0.9748954,0.007264728,0.01641955,0.0004175404,0.0005456909,0.00045705],"domain_scores_gemma":[0.9200611,0.07016525,0.007960974,0.0003947023,0.0007745681,0.0006434362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007198383,0.0009323813,0.762641,0.0001813145,0.0001816619,0.00006938404,0.0002283838,0.005407868,0.0001760398,0.002046716,0.01653642,0.2044004],"study_design_scores_gemma":[0.02342094,0.02634236,0.7928052,0.00080972,0.0003284955,0.0007084747,0.00239127,0.01694555,0.00002083811,0.04566901,0.09015252,0.0004056349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7085655,0.001114766,0.04915453,0.2391753,0.001482447,0.0004530159,0.00002064828,0.000007672157,0.00002606748],"genre_scores_gemma":[0.8437901,0.001236449,0.1059029,0.04828973,0.0007307688,0.000007664175,0.000004663157,0.00001771997,0.00002000372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3452193,"threshold_uncertainty_score":0.9986091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5498824615360741,"score_gpt":0.6479038588874745,"score_spread":0.09802139735140036,"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."}}