{"id":"W4394772216","doi":"10.5376/gmo.2024.15.0002","title":"Ethical Issues in Personalized Medicine: Privacy, Consent, and Data Sharing","year":2024,"lang":"en","type":"article","venue":"GMO Biosafety Research","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data sharing; Informed consent; Standardization; Engineering ethics; Personalized medicine; Legitimacy; Data Protection Act 1998; Internet privacy; Information privacy; Ethical issues; Precision medicine; Medicine; Political science; Computer science; Alternative medicine; 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","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.0502217,0.0001915053,0.0005345005,0.0006764137,0.000193213,0.0001644898,0.001383724,0.000997933,0.001358012],"category_scores_gemma":[0.09793597,0.0001442592,0.00005391136,0.001454458,0.003862702,0.0001356781,0.004249519,0.01276999,0.0003028674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001940532,"about_ca_system_score_gemma":0.001542546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00146544,"about_ca_topic_score_gemma":0.0007123281,"domain_scores_codex":[0.9926031,0.0007665985,0.0007105067,0.00166705,0.003302042,0.0009506901],"domain_scores_gemma":[0.9566419,0.03932329,0.00002885404,0.002623878,0.0006661391,0.0007160088],"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":[0.002501673,0.0004009044,0.04446184,0.01051983,0.0003664121,0.004750838,0.007785275,3.633968e-7,0.01538678,0.7774904,0.1175387,0.01879698],"study_design_scores_gemma":[0.008004162,0.002179027,0.08141425,0.02161121,0.0001120147,0.0006240681,0.005179308,0.01965532,0.001009944,0.2384915,0.6209512,0.0007680585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05029153,0.02023081,0.00006763014,0.9072281,0.0002521501,0.001062444,0.00006407475,0.0001693121,0.02063394],"genre_scores_gemma":[0.9274677,0.04531477,0.001718143,0.001538733,0.001001237,0.00004291625,0.0001769773,0.00007828604,0.02266124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9056894,"threshold_uncertainty_score":0.9995549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8391114279650849,"score_gpt":0.7143481882273952,"score_spread":0.1247632397376897,"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."}}