{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004202438,0.0002258574,0.0004275152,0.0001566278,0.00006028691,0.00007284819,0.0004054243,0.0001608284,0.005367272],"category_scores_gemma":[0.03930832,0.0002307352,0.00006470041,0.0004396773,0.0001310873,0.002393476,0.0005243324,0.0007283071,0.00006053285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004667453,"about_ca_system_score_gemma":0.001528254,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02805683,"about_ca_topic_score_gemma":0.06041737,"domain_scores_codex":[0.9966296,0.0005639523,0.001039815,0.0008516475,0.0006155826,0.0002994222],"domain_scores_gemma":[0.9910616,0.006485641,0.0004373087,0.0009235271,0.0006727111,0.0004191647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00797228,0.0005694563,0.2989753,0.00006440778,0.00008314301,0.001498862,0.0004111806,0.00147782,0.00002499692,0.0001141064,0.02023589,0.6685725],"study_design_scores_gemma":[0.007701762,0.001654243,0.03535582,0.002793191,0.0006409116,0.00009254029,0.003958388,0.03605049,0.00001233373,0.00003275164,0.9112972,0.0004103511],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.1741968,0.005016861,0.06476178,0.2339309,0.00331279,0.006318372,0.00006326466,0.000647231,0.511752],"genre_scores_gemma":[0.2043664,0.001898921,0.6051549,0.04743181,0.0008735236,0.000004310441,0.0001477661,0.0001156655,0.1400068],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8910613,"threshold_uncertainty_score":0.9955419,"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."}}