{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.04828192,0.0002875863,0.0005918942,0.001908244,0.01291986,0.01813033,0.002587854,0.006647203,0.004965962],"category_scores_gemma":[0.1120836,0.0007954058,0.000573186,0.004569322,0.0155919,0.004261014,0.005289855,0.01074542,0.0007751549],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1210472,"about_ca_system_score_gemma":0.44366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.955619,"about_ca_topic_score_gemma":0.9651227,"domain_scores_codex":[0.9329355,0.01918519,0.003115545,0.003374884,0.03227284,0.009116091],"domain_scores_gemma":[0.812042,0.08203241,0.008811774,0.007910153,0.05241755,0.03678619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001773011,0.0001071552,0.02631345,0.0004880497,0.00007405341,0.001176719,0.01321865,0.0006604688,0.0008660739,0.4286094,0.4413009,0.08700784],"study_design_scores_gemma":[0.0001267956,0.00007838367,0.06035496,0.002470825,0.0000822149,0.001142067,0.01284564,0.00264885,0.00127342,0.06728262,0.8514378,0.0002564634],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01820422,0.006906502,0.004469067,0.9104686,0.0007949662,0.0003228413,0.001134614,0.0001064068,0.05759279],"genre_scores_gemma":[0.598708,0.01510242,0.02216624,0.3033942,0.001446081,0.000512837,0.0015226,0.0002095392,0.05693799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9933528,"threshold_uncertainty_score":0.8782629,"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."}}