{"id":"W1942872945","doi":"10.2310/8000.2013.130975","title":"Detection and correction of prescription errors by an emergency department pharmacy service","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Medicine; Pharmacy; Medical prescription; Emergency department; Medical emergency; Service (business); Emergency medicine; Family medicine; Nursing; Business","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":[0.002439013,0.0004986925,0.0005929221,0.003174034,0.001536595,0.002156349,0.001597129,0.001925469,0.005066347],"category_scores_gemma":[0.07704607,0.0006929392,0.001133807,0.002695238,0.0004923384,0.002343086,0.002065087,0.002855049,0.0006462085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002406565,"about_ca_system_score_gemma":0.007035258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.049017,"about_ca_topic_score_gemma":0.04820254,"domain_scores_codex":[0.9898731,0.002442687,0.002178975,0.0007319108,0.003173252,0.001600068],"domain_scores_gemma":[0.9300203,0.02278039,0.03172277,0.002036577,0.008221762,0.005218289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000160897,0.0002890631,0.9909944,0.00004687268,0.00004658941,0.0006039848,0.0003062709,0.00008742457,0.00007372461,0.00004965835,0.0006951832,0.006645845],"study_design_scores_gemma":[0.0000226974,0.0002751267,0.9921222,0.0001968687,0.00006049366,0.002045726,0.002768866,0.001245957,0.0002348923,0.000132231,0.0008685128,0.00002646293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920226,0.0006505604,0.0001787538,0.002597847,0.0001009272,0.00008376099,0.0007697612,0.00003455839,0.003561193],"genre_scores_gemma":[0.9979317,0.0003778458,0.000359194,0.0004463705,0.00006982455,0.00001346649,0.0003222828,0.00001125624,0.0004681509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.049017,"threshold_uncertainty_score":0.09746343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1467574141323531,"score_gpt":0.4061256304510893,"score_spread":0.2593682163187362,"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."}}