{"id":"W2965001616","doi":"10.1177/0840470419865851","title":"When personal health data is no longer “personal”","year":2019,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Safeguarding; Health care; Personally identifiable information; Big data; Business; Legislation; Analytics; Internet privacy; Public relations; Data collection; Data science; Computer science; Medicine; Computer security; Political science; Nursing; Data mining; Sociology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.08658394,0.0005330078,0.001342928,0.001845374,0.008210345,0.01869023,0.002777465,0.01617706,0.009315274],"category_scores_gemma":[0.1757883,0.0009706865,0.001018271,0.003077969,0.05317826,0.03041085,0.01802835,0.0256329,0.004977395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004579447,"about_ca_system_score_gemma":0.01748601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003426851,"about_ca_topic_score_gemma":0.003645663,"domain_scores_codex":[0.8299783,0.09849106,0.0115153,0.01060264,0.04435301,0.005059673],"domain_scores_gemma":[0.7824647,0.11775,0.01445991,0.05715469,0.02151538,0.006655368],"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":[0.0001161388,0.00006557012,0.003167714,0.0005824752,0.00006828522,0.0008961156,0.02836534,0.0001351885,0.00105481,0.7291663,0.1764456,0.05993649],"study_design_scores_gemma":[0.00002414102,0.00006739563,0.001139682,0.001605631,0.00003248353,0.001295591,0.008598878,0.0001618737,0.0009717176,0.1996282,0.7863855,0.00008900093],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01057495,0.01162609,0.04416239,0.7763431,0.01579217,0.000272789,0.0007913821,0.000391187,0.1400458],"genre_scores_gemma":[0.3239413,0.01291295,0.03827414,0.5432724,0.01914741,0.001081039,0.001277092,0.0008519469,0.05924162],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08658394,"threshold_uncertainty_score":0.4579051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4210634474751678,"score_gpt":0.5525489744342469,"score_spread":0.1314855269590791,"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."}}