{"id":"W2599053232","doi":"","title":"Evidence Brief: Optimizing Clinical Practice in Ontario Based on Data, Evidence and Guidelines","year":2015,"lang":"en","type":"article","venue":"MacSphere (McMaster University)","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Ontario; Registered Nurses' Association of Ontario; Ontario Ministry of Health and Long-Term Care; McMaster University","keywords":"Excellence; Government (linguistics); Christian ministry; Stakeholder; Health care; Evidence-based practice; Political science; Library science; Medicine; Public relations; Nursing; Alternative medicine; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04630188,0.0008516123,0.001218101,0.004237334,0.006432096,0.007028629,0.003310326,0.009021442,0.00930941],"category_scores_gemma":[0.1266512,0.001170867,0.001359687,0.005001131,0.003512353,0.005062962,0.005269171,0.007565611,0.001647326],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08466672,"about_ca_system_score_gemma":0.3171929,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5899745,"about_ca_topic_score_gemma":0.9039811,"domain_scores_codex":[0.9645227,0.009839223,0.007609625,0.0007069756,0.0148037,0.002517809],"domain_scores_gemma":[0.8299522,0.03841396,0.01188311,0.002879112,0.0946582,0.02221339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001044129,0.0001401456,0.003973074,0.009748057,0.00008024575,0.0005080568,0.003692169,0.0004814805,0.0004558318,0.006291649,0.8781862,0.09633869],"study_design_scores_gemma":[0.0002288623,0.0001706619,0.01892034,0.03196402,0.0002290782,0.0001898917,0.004192772,0.0004075198,0.0003059016,0.005644241,0.9376193,0.0001273301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004416611,0.02704472,0.002232416,0.920562,0.009257631,0.003202896,0.003371695,0.0001147943,0.02979723],"genre_scores_gemma":[0.1491412,0.1245437,0.1693832,0.4599819,0.01025536,0.01145436,0.01285061,0.000227828,0.06216178],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9153333,"threshold_uncertainty_score":0.8248805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5402405631581255,"score_gpt":0.4775893390125409,"score_spread":0.0626512241455846,"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."}}