{"id":"W2611653674","doi":"10.4212/cjhp.v70i2.1646","title":"Going through the Motions: A Time-and- Motion Study of Workload Associated with Nonformulary Medication Orders","year":2017,"lang":"en","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"College of Pharmacists of British Columbia; Surrey Memorial Hospital; Vancouver General Hospital; University of British Columbia","funders":"","keywords":"Workload; Motion (physics); Computer science; Medicine; Artificial intelligence; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007663866,0.0003900647,0.0004054943,0.001059766,0.0005907577,0.0009400133,0.0005220797,0.0007350445,0.002639335],"category_scores_gemma":[0.006385449,0.0003064069,0.0005681831,0.001062057,0.0003627143,0.0006903579,0.0007442179,0.0007360423,0.0006127333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006121428,"about_ca_system_score_gemma":0.0006187441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01222006,"about_ca_topic_score_gemma":0.01899573,"domain_scores_codex":[0.999295,0.0002192386,0.00007494686,0.00009865945,0.0001332891,0.0001788978],"domain_scores_gemma":[0.9961481,0.0008320092,0.001509588,0.0001828496,0.0004273392,0.0009001554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003031644,0.001300905,0.976823,0.00006908516,0.0001938092,0.000380414,0.002371784,0.0004667662,0.004864431,0.0001254186,0.0003534427,0.01001933],"study_design_scores_gemma":[0.00001035213,0.000507918,0.9976727,0.000006456732,0.0000150714,0.00006795165,0.0010046,0.0003654958,0.0001079261,0.00002811227,0.0002026689,0.00001076003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991711,0.00004605222,0.0001230886,0.00002611233,0.000007569732,0.00003208408,0.0001831795,0.000002856639,0.0004080034],"genre_scores_gemma":[0.9989874,0.00004287695,0.0001529251,0.00003204767,0.00001686883,0.00003019894,0.0003392406,0.000004237866,0.0003941559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01222006,"threshold_uncertainty_score":0.02429783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2546198918183265,"score_gpt":0.4836971666667894,"score_spread":0.2290772748484629,"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."}}