{"id":"W2011252800","doi":"10.1503/cmaj.1021826","title":"The confidentiality of patient and physician information in pharmacy prescription records","year":2004,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Medical prescription; Pharmacy; Confidentiality; Identifier; The Internet; Masking (illustration); World Wide Web; Patient data; Computer science; Medicine; Internet privacy; Data science; Family medicine; Computer security; 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":[0.05755905,0.0001920676,0.0007988875,0.001780854,0.00411168,0.007334157,0.001890776,0.002798575,0.005890552],"category_scores_gemma":[0.1635841,0.0007161795,0.000453294,0.004423567,0.004899895,0.006086518,0.003390044,0.002852697,0.002078892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004443388,"about_ca_system_score_gemma":0.01781688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0133778,"about_ca_topic_score_gemma":0.008953999,"domain_scores_codex":[0.8948752,0.06240096,0.01216054,0.003521895,0.02407137,0.002969955],"domain_scores_gemma":[0.7392327,0.1594949,0.02698437,0.05318684,0.01817031,0.002930913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001288414,0.0003283453,0.07479626,0.002044869,0.0002100805,0.002883131,0.1025285,0.002420159,0.004646037,0.3862555,0.07450896,0.3480898],"study_design_scores_gemma":[0.0002568581,0.0003677126,0.07040456,0.00593075,0.0003015304,0.009271987,0.02966863,0.008124813,0.01593738,0.1753391,0.6841216,0.000275088],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2849213,0.01281007,0.2262533,0.198855,0.002171537,0.00347171,0.01166086,0.0004722657,0.2593841],"genre_scores_gemma":[0.930995,0.004198002,0.03405378,0.01152051,0.0008967086,0.001051635,0.002080199,0.0001164032,0.01508763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05755905,"threshold_uncertainty_score":0.304405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.107164755403106,"score_gpt":0.4440291800250609,"score_spread":0.3368644246219549,"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."}}