{"id":"W7115033939","doi":"","title":"Deprescribing: moving from evidence to implementation","year":2025,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Canada","keywords":"Perspective (graphical); Work (physics); Context (archaeology); Component (thermodynamics); Set (abstract data type)","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.4056378,0.002567763,0.009360814,0.0130575,0.00403193,0.03143971,0.01382235,0.02517419,0.02159576],"category_scores_gemma":[0.5939248,0.00335676,0.006422279,0.0100592,0.01349232,0.03700189,0.0238374,0.03209017,0.003785031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04025389,"about_ca_system_score_gemma":0.1687787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01795263,"about_ca_topic_score_gemma":0.02149379,"domain_scores_codex":[0.6302074,0.2510661,0.04502177,0.01362675,0.05170754,0.008370562],"domain_scores_gemma":[0.2033877,0.6308175,0.03265285,0.02213237,0.08778737,0.02322237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007118744,0.0005961079,0.002766845,0.1075717,0.001176688,0.0002625712,0.002776863,0.0009057897,0.0004351709,0.04798264,0.0517313,0.7830825],"study_design_scores_gemma":[0.001257041,0.00148217,0.007723987,0.6489995,0.001674789,0.0004022332,0.005532503,0.001982956,0.0009842828,0.05913858,0.27053,0.0002919465],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002371754,0.3290797,0.01069117,0.6357066,0.01034798,0.002171787,0.0005460076,0.0002753746,0.008809648],"genre_scores_gemma":[0.08340327,0.4915896,0.1418754,0.2600708,0.01151877,0.007656721,0.001095645,0.0003425233,0.002447274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4056378,"threshold_uncertainty_score":0.7329544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.360014296901163,"score_gpt":0.56724846956858,"score_spread":0.207234172667417,"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."}}