{"id":"W2097693023","doi":"10.4212/cjhp.v65i4.1156","title":"Medication Records in the Emergency Department: Agreement Between Paper-Based Charts and Automated Dispensing Device","year":2012,"lang":"en","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"IWK Health Centre; Dalhousie University; Nova Scotia Health Research Foundation; Canadian Health Services Research Foundation","keywords":"Emergency department; Medicine; Triage; Concordance; Medical emergency; Medical record; Emergency medicine; Confidence interval; Cohen's kappa; Kappa; Internal medicine; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.04151516,0.0002738491,0.0005253124,0.00386888,0.0003150447,0.00178371,0.0009896749,0.0005048104,0.0009594982],"category_scores_gemma":[0.1672556,0.000256215,0.0005646675,0.003162037,0.0008490105,0.001196465,0.001903987,0.0004740373,0.0002364239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009424574,"about_ca_system_score_gemma":0.0006911033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003607834,"about_ca_topic_score_gemma":0.002604323,"domain_scores_codex":[0.9384345,0.03246347,0.01059842,0.003947273,0.01373396,0.0008223364],"domain_scores_gemma":[0.7382293,0.1588516,0.05699547,0.01236468,0.03218431,0.001374559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000641287,0.00005074919,0.9804822,0.0002596192,0.0003616804,0.0000729777,0.001874165,0.0003098307,0.0003403306,0.0001097629,0.0003732631,0.01512407],"study_design_scores_gemma":[0.00004978782,0.000350747,0.9919317,0.000342323,0.0001277163,0.0003860365,0.001594324,0.002646877,0.001112821,0.0002319591,0.001197653,0.00002802237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871542,0.001422834,0.005138921,0.0002114334,0.000111055,0.0002864631,0.001651095,0.00007161269,0.003952289],"genre_scores_gemma":[0.9969597,0.0001777666,0.001788447,0.0000605454,0.0000249094,0.00005777282,0.0007894978,0.000009415409,0.0001318835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04151516,"threshold_uncertainty_score":0.2195557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07600912424763083,"score_gpt":0.4237630608775443,"score_spread":0.3477539366299134,"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."}}