{"id":"W2135462674","doi":"10.4212/cjhp.v62i4.812","title":"Evaluating the Risk of Re-identification of Patients from Hospital Prescription Records","year":2009,"lang":"en","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa; Agricultural Research Institute of Ontario","funders":"Memorial University of Newfoundland; University of Alberta; Queen's University; McMaster University; Ontario Centres of Excellence; McGill University; Dalhousie University; Hamilton Health Sciences; University of British Columbia; Vanderbilt University","keywords":"Medical prescription; Audit; Identification (biology); Medicine; Medical record; Medical emergency; Pharmacy; Quality (philosophy); Family medicine; Business; Accounting; Surgery; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.08469936,0.0005177791,0.0007913528,0.002702901,0.0009325818,0.002039073,0.001883393,0.001813958,0.001504614],"category_scores_gemma":[0.3505665,0.0003996169,0.001982978,0.002121939,0.0009248904,0.002455977,0.002204401,0.001704535,0.0003676774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002397342,"about_ca_system_score_gemma":0.002937566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006409531,"about_ca_topic_score_gemma":0.004794407,"domain_scores_codex":[0.9092909,0.05103628,0.01371197,0.003975427,0.02044402,0.001541411],"domain_scores_gemma":[0.3909915,0.4615309,0.09899834,0.01845665,0.02640432,0.003618241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002135908,0.0003219823,0.9363942,0.0003528388,0.0005420903,0.0003416534,0.001101376,0.006466316,0.0002868627,0.0005285908,0.001066203,0.050462],"study_design_scores_gemma":[0.000289045,0.009491509,0.8333338,0.001268221,0.00196136,0.005164104,0.004878826,0.1263095,0.00690651,0.00290936,0.007179196,0.0003086069],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982024,0.001280684,0.009274014,0.001682283,0.00006641499,0.001053635,0.0009504436,0.00009402601,0.003574456],"genre_scores_gemma":[0.9915029,0.0003024921,0.006982693,0.0002040223,0.00003019426,0.0001669558,0.0004827217,0.00001321276,0.0003149285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08469936,"threshold_uncertainty_score":0.4479384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09151234482635487,"score_gpt":0.4240800506557147,"score_spread":0.3325677058293599,"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."}}