{"id":"W4206932173","doi":"10.1503/cmaj.210455","title":"The commercialization of patient data in Canada: ethics, privacy and policy","year":2022,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; University of Toronto; St. Michael's Hospital","funders":"Women's College Hospital","keywords":"Patient privacy; Government (linguistics); Commercialization; Pharmacy; Data anonymization; Patient data; Information privacy; Internet privacy; Privacy law; Informed consent; Privacy policy; Medicine; Data science; Computer science; Family medicine; Business; Alternative medicine; Health care; Political science; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01381679,0.00004996688,0.0001617209,0.000128536,0.0005233159,0.00002330021,0.0004529383,0.0001851416,0.0004182469],"category_scores_gemma":[0.1379264,0.00004046228,0.00001849068,0.0003735078,0.00008561825,0.00003879097,0.0002722188,0.005243519,8.027034e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00462451,"about_ca_system_score_gemma":0.1066339,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9532505,"about_ca_topic_score_gemma":0.998061,"domain_scores_codex":[0.99471,0.0007226747,0.0005832129,0.0001257954,0.003541072,0.0003172546],"domain_scores_gemma":[0.9884539,0.009135441,0.0003021842,0.0003529159,0.0006379472,0.001117639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004878106,0.00005470562,0.8385049,0.00004433303,0.00009667428,0.0003288765,0.001993934,0.00001767319,0.000002440859,0.01516908,0.06994171,0.0737969],"study_design_scores_gemma":[0.001296445,0.0001571305,0.2925894,0.0001260696,0.00001746364,0.0001788778,0.004533714,0.00145159,0.000003920754,0.0066341,0.6929162,0.00009509713],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2503979,0.0005278835,0.00001064373,0.7472579,0.0004933572,0.000187258,0.0001130148,0.000002192603,0.00100985],"genre_scores_gemma":[0.9756625,0.001414472,0.00003081795,0.02243939,0.0002838174,0.000004172823,0.00002805239,0.000008331365,0.0001284173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7252647,"threshold_uncertainty_score":0.9991966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2260056202189584,"score_gpt":0.4889989885562035,"score_spread":0.2629933683372451,"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."}}