{"id":"W7101130849","doi":"","title":"Privacy Interests in Prescription data, Part 2 Patient Privacy","year":2016,"lang":"en","type":"article","venue":"","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical prescription; Personally identifiable information; Information privacy; Patient privacy; Pharmacy; Obligation; Masking (illustration); Privacy policy; Privacy laws of the United States; Confidentiality","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":[0.01533563,0.0004069952,0.0005339709,0.001100648,0.004805326,0.01302773,0.00158253,0.008273241,0.01250342],"category_scores_gemma":[0.03163156,0.0005876027,0.001010814,0.002930667,0.01338674,0.01171339,0.004593774,0.006912533,0.001617306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01046734,"about_ca_system_score_gemma":0.01742121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04372852,"about_ca_topic_score_gemma":0.03292809,"domain_scores_codex":[0.9774895,0.009597424,0.0009928169,0.001911909,0.007781075,0.002227152],"domain_scores_gemma":[0.9733435,0.01663738,0.001134524,0.004512868,0.003501374,0.0008703863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001662855,0.00001497564,0.001276247,0.00007702629,0.000008591327,0.0001928728,0.005801362,0.0002838831,0.0002331267,0.9318993,0.04226376,0.01793229],"study_design_scores_gemma":[0.00001884448,0.00003619637,0.0026868,0.0005983801,0.00002688249,0.0008112002,0.003468528,0.0008397797,0.0007657252,0.2828639,0.7078314,0.00005223543],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.01776146,0.01678482,0.05155119,0.2826237,0.002158071,0.0004074769,0.001941531,0.0001397255,0.626632],"genre_scores_gemma":[0.6105505,0.0223716,0.03098161,0.1290014,0.005332588,0.0008227803,0.001537366,0.0002087859,0.1991933],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.04372852,"threshold_uncertainty_score":0.08694798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6177254860921654,"score_gpt":0.5679064969194371,"score_spread":0.04981898917272831,"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."}}