{"id":"W3163820877","doi":"10.2196/22269","title":"Ethical Issues in Patient Data Ownership","year":2021,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Confidentiality; Exploit; Vendor; Data sharing; Internet privacy; Framing (construction); Business; Health care; Health data; Ethical issues; Third party; Public relations; Computer security; Political science; Medicine; Marketing; Computer science; Engineering ethics; Law; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.0608313,0.0001298507,0.0006661669,0.0006135622,0.00006715249,0.00009520922,0.00166268,0.001239321,0.005612008],"category_scores_gemma":[0.6233634,0.00009024613,0.0001568455,0.001031115,0.0009474332,0.000238742,0.002298712,0.03802596,0.0001518894],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004571244,"about_ca_system_score_gemma":0.008502617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001979447,"about_ca_topic_score_gemma":0.0006263899,"domain_scores_codex":[0.9778331,0.003638654,0.001444768,0.0005177584,0.01584802,0.0007176925],"domain_scores_gemma":[0.7360722,0.2335597,0.0006547634,0.003672552,0.02160956,0.004431265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0128509,0.009392998,0.02584396,0.001296367,0.001082004,0.2270493,0.007937925,0.000004610838,0.007759281,0.02139445,0.1917559,0.4936323],"study_design_scores_gemma":[0.01418733,0.01086969,0.03288994,0.03646519,0.0001086425,0.01221233,0.03487967,0.004298407,0.03474554,0.1213481,0.6973613,0.0006338839],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.368426,0.003119157,0.0001883865,0.6185912,0.0006438717,0.0002191403,0.00001028044,0.000007464461,0.0087945],"genre_scores_gemma":[0.9841512,0.008560697,0.001370327,0.003581143,0.001017944,0.00000471865,0.00001301235,0.00002780888,0.001273187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6157252,"threshold_uncertainty_score":0.9971182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7532528959010125,"score_gpt":0.7266921789642723,"score_spread":0.02656071693674023,"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."}}