{"id":"W4234835014","doi":"10.4212/cjhp.v62i5.831","title":"Prograf and Advagraf Mix-up","year":2009,"lang":"en","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; University of Alberta","keywords":"Medicine; Harm; Pharmacy; Medical emergency; Family medicine; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002980364,0.0006720363,0.0005933775,0.001489652,0.001275172,0.001869177,0.001109182,0.0007363703,0.01670522],"category_scores_gemma":[0.007069473,0.0003364832,0.0006451458,0.001030089,0.0008419285,0.0009130738,0.001717462,0.0009769426,0.002985959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002600558,"about_ca_system_score_gemma":0.003107495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005660985,"about_ca_topic_score_gemma":0.005749347,"domain_scores_codex":[0.9941168,0.0009254595,0.0004741091,0.0006169447,0.00346535,0.0004013173],"domain_scores_gemma":[0.9971732,0.0007091234,0.000745943,0.0003525827,0.0006186869,0.0004004257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"case_report","study_design_scores_codex":[0.009042338,0.002590476,0.1562976,0.001747981,0.000433506,0.005576149,0.001754272,0.0006038591,0.01836668,0.004343849,0.01733038,0.781913],"study_design_scores_gemma":[0.002564306,0.02209176,0.213901,0.001718682,0.002004077,0.05582741,0.003235326,0.006075923,0.2252544,0.009262811,0.457595,0.0004693039],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8156791,0.03676897,0.03838392,0.006918288,0.001867727,0.01229165,0.005031328,0.002232641,0.08082638],"genre_scores_gemma":[0.9131426,0.006227622,0.04423587,0.00310347,0.0007527623,0.002937545,0.001883147,0.0001695447,0.02754744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01670522,"threshold_uncertainty_score":0.05588454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02353845781480057,"score_gpt":0.3338129715006108,"score_spread":0.3102745136858103,"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."}}