{"id":"W3204875472","doi":"10.1016/j.jclinepi.2021.09.028","title":"A taxonomy and framework for identifying and developing actionable statements in guidelines suggests avoiding informal recommendations","year":2021,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Université Laval; Impact; The Quebec Population Health Research Network; McMaster University; St. Joseph’s Healthcare Hamilton; Public Health Agency of Canada; Bruyère; Cochrane","funders":"World Health Organization","keywords":"Guideline; Standardization; Taxonomy (biology); Process (computing); Process management; Presentation (obstetrics); Conceptual framework; Computer science; Identification (biology); Knowledge management; Management science; Psychology; Medicine; Business; Engineering; Sociology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.149502,0.003351315,0.002292434,0.01961991,0.0112301,0.02307707,0.01087653,0.01305798,0.005995037],"category_scores_gemma":[0.2583534,0.003623639,0.00443192,0.01053219,0.01946633,0.03660868,0.01264206,0.01278609,0.00351455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01316168,"about_ca_system_score_gemma":0.04446379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0233086,"about_ca_topic_score_gemma":0.03829911,"domain_scores_codex":[0.7674993,0.1428399,0.04919573,0.009790001,0.02557277,0.00510234],"domain_scores_gemma":[0.6473634,0.2028126,0.03752932,0.02685962,0.07749739,0.007937748],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001350731,0.0004194912,0.0121897,0.003049183,0.000172803,0.001178097,0.07532998,0.003925394,0.003343403,0.6610911,0.02072588,0.2184399],"study_design_scores_gemma":[0.000135549,0.0003500493,0.00456432,0.009611364,0.0003361233,0.001857281,0.04845278,0.03489218,0.006987267,0.7103761,0.1818707,0.0005662644],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006766545,0.0005893923,0.9537469,0.02016332,0.0002787303,0.003983292,0.0005272346,0.002014948,0.01192968],"genre_scores_gemma":[0.0165813,0.0001655258,0.9808521,0.0003632081,0.00002832504,0.0009023531,0.0002623069,0.00006217763,0.0007827849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.850498,"threshold_uncertainty_score":0.7906514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8277265735514102,"score_gpt":0.6885333178676506,"score_spread":0.1391932556837596,"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."}}