{"id":"W2573361251","doi":"10.1017/s0714980816000702","title":"An Ecological Approach to Reducing Potentially Inappropriate Medication Use: Canadian Deprescribing Network","year":2017,"lang":"fr","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal; University of British Columbia; Canadian Patient Safety Institute; Institute of Population and Public Health; Alberta Health Services; Women's College Hospital; Bruyère; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Polypharmacy; Deprescribing; Beers Criteria; Stakeholder; Health care; Process (computing); Business; Enabling; Medicine; Nursing; Public relations; Intensive care medicine; Psychiatry; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01427948,0.000592405,0.0003370031,0.004344013,0.01804095,0.005119829,0.003095133,0.001455452,0.003822613],"category_scores_gemma":[0.02280248,0.0003624539,0.0005157694,0.003182526,0.008858548,0.002672265,0.009278093,0.002025679,0.0001769318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1065186,"about_ca_system_score_gemma":0.3022417,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.925771,"about_ca_topic_score_gemma":0.9672785,"domain_scores_codex":[0.9878082,0.006078456,0.0002338919,0.0007101888,0.002907975,0.002261336],"domain_scores_gemma":[0.9870201,0.002300139,0.0008003138,0.0006060943,0.004294124,0.00497926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001442594,0.0009724774,0.1101859,0.0006039951,0.0001574024,0.0007655892,0.04111596,0.00993906,0.0005926944,0.5012619,0.05519512,0.2790656],"study_design_scores_gemma":[0.0003540243,0.0006080193,0.1482559,0.001608996,0.0002865183,0.0004021895,0.08605284,0.03283168,0.001008211,0.1823356,0.5460164,0.0002396748],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2439452,0.002747532,0.07310529,0.2991334,0.0006295989,0.005088269,0.0008881824,0.0004840394,0.3739784],"genre_scores_gemma":[0.9147999,0.001716085,0.06559831,0.006408172,0.00008021574,0.0009957476,0.0002392056,0.00003853068,0.01012383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1065186,"threshold_uncertainty_score":0.7728502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07033508847176555,"score_gpt":0.3112420712653682,"score_spread":0.2409069827936026,"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."}}