{"id":"W1562623253","doi":"10.1111/j.1532-5415.2011.03565.x","title":"PILOTING A RENAL DRUG ALERT SYSTEM FOR PRESCRIBING TO RESIDENTS IN LONG‐TERM CARE","year":2011,"lang":"en","type":"letter","venue":"Journal of the American Geriatrics Society","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Joseph’s Healthcare Hamilton; Institute for Clinical Evaluative Sciences; Western University; McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Pharmacy; Medical prescription; Polypharmacy; Pharmacist; Long-term care; Deprescribing; Clinical decision support system; Geriatrics; Clinical pharmacy; Family medicine; Medical emergency; Health care; Intensive care medicine; Nursing","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":[0.007613633,0.000424985,0.0003234658,0.000532678,0.00181439,0.001642929,0.002566264,0.00295092,0.003725094],"category_scores_gemma":[0.03917935,0.0002878743,0.0005092706,0.000434128,0.0005096375,0.0008867912,0.0008975044,0.001244925,0.0008622482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003292475,"about_ca_system_score_gemma":0.01371122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06794882,"about_ca_topic_score_gemma":0.1843969,"domain_scores_codex":[0.9961795,0.001225883,0.0003997935,0.0001724079,0.001711885,0.0003105927],"domain_scores_gemma":[0.9668374,0.01116193,0.001832239,0.0005429818,0.01658533,0.003040102],"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":[0.001804476,0.004281058,0.06841483,0.005340601,0.0001980449,0.008456072,0.007120706,0.001599443,0.007444345,0.0002878373,0.3261684,0.5688843],"study_design_scores_gemma":[0.003153315,0.02183553,0.1876207,0.008712629,0.001706546,0.007074173,0.02147475,0.0233242,0.02975903,0.0007895743,0.6939974,0.0005522299],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"editorial","genre_scores_codex":[0.6674417,0.01154922,0.02126921,0.2463297,0.01564143,0.009954601,0.001965485,0.004867805,0.0209809],"genre_scores_gemma":[0.7951841,0.009665588,0.104945,0.06495233,0.007532285,0.002822014,0.001311826,0.0002302262,0.01335655],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.06794882,"threshold_uncertainty_score":0.1351066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04722236058279274,"score_gpt":0.3761111409818819,"score_spread":0.3288887803990892,"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."}}