{"id":"W7095282368","doi":"","title":"ARTICLE Medication Error Reporting Systems: A Survey of Canadian Intensive Care Units","year":2014,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intensive care; Intensive care unit; Specialty; Pharmacy; Adverse effect; MEDLINE; Pharmacist; Patient safety","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.00306788,0.0002831841,0.0003384536,0.002837342,0.002224933,0.001618057,0.001411177,0.0005402703,0.002561234],"category_scores_gemma":[0.02189179,0.0003077002,0.0003457408,0.006515486,0.0007088076,0.0006848472,0.001136226,0.000618893,0.0002429702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0235044,"about_ca_system_score_gemma":0.03055256,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9636146,"about_ca_topic_score_gemma":0.9546901,"domain_scores_codex":[0.9941268,0.0006431263,0.0006460758,0.0004749792,0.00318809,0.0009208111],"domain_scores_gemma":[0.9716941,0.003030386,0.008462311,0.0004395499,0.01234926,0.004024378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000041203,0.00003272223,0.9877445,0.00008669689,0.00001872941,0.00004653527,0.00169674,0.00005050806,0.0001362145,0.00003595099,0.002622635,0.007487569],"study_design_scores_gemma":[0.000002854856,0.00001932236,0.9967302,0.00002807714,0.000003320833,0.00002869674,0.001729156,0.00009821628,0.00003538633,0.000004538214,0.001313014,0.000007205897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847441,0.0007986744,0.000177843,0.002174594,0.00002712673,0.0002126992,0.007001969,0.00002417923,0.004838706],"genre_scores_gemma":[0.9950981,0.0009035583,0.0004148321,0.0006240795,0.00001961853,0.00007682777,0.002031911,0.000007506576,0.0008236668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03638542,"threshold_uncertainty_score":0.1705372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1485718207349968,"score_gpt":0.2416332319554849,"score_spread":0.09306141122048806,"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."}}