{"id":"W1090325890","doi":"10.1007/s40266-015-0286-5","title":"A Pharmacist–Physician Intervention Model Using a Computerized Alert System to Reduce High-Risk Medication Use in Elderly Inpatients","year":2015,"lang":"en","type":"article","venue":"Drugs & Aging","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Centre Hospitalier Universitaire de Sherbrooke; McGill University Health Centre; Health and Social Services Centre University Institute of Geriatrics of Sherbrooke; Hôtel-Dieu de Québec; Université de Montréal","funders":"","keywords":"Medicine; Pharmacist; Intervention (counseling); Pharmacotherapy; Medication therapy management; Medication adherence; Emergency medicine; Family medicine; Pharmacy; Medical emergency; Internal medicine; Psychiatry","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":[],"consensus_categories":[],"category_scores_codex":[0.002017329,0.0007493211,0.00104599,0.000933155,0.0007458421,0.001330075,0.001515303,0.00133237,0.00511868],"category_scores_gemma":[0.006686501,0.0004683886,0.0009213524,0.000538715,0.000211074,0.0008630744,0.0007473393,0.0009230645,0.0004325313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002505548,"about_ca_system_score_gemma":0.005712712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02054821,"about_ca_topic_score_gemma":0.02325815,"domain_scores_codex":[0.9986551,0.0006266029,0.0001169123,0.0002580749,0.0001805237,0.0001628824],"domain_scores_gemma":[0.9967266,0.001746506,0.0003560028,0.00008730725,0.0003730783,0.0007105062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.03162251,0.1327809,0.2103969,0.0008959509,0.002972143,0.00132566,0.001060838,0.18905,0.005117602,0.002946132,0.01415785,0.4076736],"study_design_scores_gemma":[0.008636281,0.01831502,0.07458586,0.0001141723,0.001606116,0.00023875,0.0004431295,0.8907709,0.001586662,0.001636912,0.001933541,0.0001326222],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973243,0.0002178392,0.01697652,0.002105184,0.0002408174,0.001772152,0.0003681144,0.0007399491,0.004336515],"genre_scores_gemma":[0.9864667,0.0001209698,0.01139468,0.0004175917,0.00005691334,0.0004843441,0.0001591943,0.000007676379,0.0008919043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02054821,"threshold_uncertainty_score":0.0408572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1642212866589671,"score_gpt":0.4145211253157209,"score_spread":0.2502998386567538,"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."}}