{"id":"W2061294015","doi":"10.4212/cjhp.v62i4.809","title":"Unintended Medication Discrepancies Associated with Reliance on Prescription Databases for Medication Reconciliation on Admission to a General Medical Ward","year":2009,"lang":"en","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Calgary; Vancouver Coastal Health","funders":"","keywords":"Medical prescription; Medicine; Medical record; Harm; Emergency medicine; Database; Hospital admission; MEDLINE; Family medicine; Pediatrics; Internal medicine; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.01319548,0.0003504321,0.0004255433,0.001519602,0.000993219,0.001560707,0.0009562788,0.0006935903,0.001067699],"category_scores_gemma":[0.1029434,0.0005069862,0.0004442753,0.001651462,0.00119619,0.001133103,0.002055673,0.00150504,0.0001577879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653922,"about_ca_system_score_gemma":0.001835924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003251343,"about_ca_topic_score_gemma":0.004490867,"domain_scores_codex":[0.9687096,0.01445383,0.006736818,0.001578654,0.007382711,0.001138405],"domain_scores_gemma":[0.7763781,0.09686088,0.1008914,0.01147539,0.01136753,0.003026679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002408153,0.00007376257,0.9926873,0.00004948021,0.00004260655,0.0002586101,0.001053147,0.0001350634,0.0001748142,0.00005289839,0.00008983066,0.005141653],"study_design_scores_gemma":[0.00001149859,0.0002702644,0.9933234,0.0001338785,0.00004942252,0.001932811,0.001919242,0.001131743,0.0006175444,0.0001431362,0.0004474311,0.00001956538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998713,0.0002512323,0.0003010796,0.0002241447,0.000008571719,0.00002628355,0.00005915874,0.000008175246,0.0004083257],"genre_scores_gemma":[0.9994253,0.00006272975,0.0003536096,0.00006045061,0.000009050558,0.000008546102,0.00005273656,0.00000229999,0.0000252674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01319548,"threshold_uncertainty_score":0.06978524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1269077318552221,"score_gpt":0.4056203793629204,"score_spread":0.2787126475076984,"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."}}