{"id":"W7100490413","doi":"","title":"A Case Study of Alberta Wellnet&amp;apos;s Treatment of Privacy in Implementing Electronic Health","year":2007,"lang":"en","type":"article","venue":"","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health information; Confidentiality; Information privacy; Public health; Patient privacy; HRHIS; Health policy; Digital health; Health care","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":[0.004390423,0.0006527798,0.0003993859,0.001748866,0.02752926,0.004393533,0.002969386,0.006850643,0.005698189],"category_scores_gemma":[0.01383375,0.0005616288,0.000620821,0.003176366,0.006752888,0.001676708,0.003959828,0.006406228,0.000359426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03535768,"about_ca_system_score_gemma":0.05727229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7453738,"about_ca_topic_score_gemma":0.8893558,"domain_scores_codex":[0.9916596,0.002845166,0.0001825002,0.0003211509,0.002176544,0.002815044],"domain_scores_gemma":[0.9928041,0.002693251,0.000602295,0.0003168041,0.001087994,0.002495572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"case_report","study_design_scores_codex":[0.0001521435,0.001060777,0.07009904,0.0003482967,0.00008038926,0.3420766,0.3471595,0.002170329,0.001941423,0.1154849,0.06005585,0.05937085],"study_design_scores_gemma":[0.0000415059,0.0003195812,0.03531488,0.0008745401,0.00008087874,0.1012965,0.6249426,0.004032826,0.001474405,0.008665395,0.2227701,0.0001868399],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7696287,0.002163155,0.005401567,0.06942993,0.0005852711,0.0004158867,0.0002099679,0.0001002165,0.1520654],"genre_scores_gemma":[0.9603276,0.001485192,0.003039119,0.00919216,0.0001089222,0.00007585376,0.00007380746,0.00004390757,0.02565357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7453738,"threshold_uncertainty_score":0.5122515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2418359606495186,"score_gpt":0.4750516889078202,"score_spread":0.2332157282583016,"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."}}