{"id":"W4406036940","doi":"10.1093/clinchem/hvae184","title":"Genomic Data and Privacy","year":2025,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Human Genome Research Institute","keywords":"Library science; Genomic medicine; Medicine; Gerontology; Computer science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003598746,0.00009031497,0.0003239757,0.00001234184,0.00004836927,0.00002471481,0.0006260261,0.00054009,0.0002220945],"category_scores_gemma":[0.05903476,0.00007876359,0.00006703755,0.0001057296,0.0006360478,0.00002635829,0.002034088,0.002204964,0.0000505908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002638771,"about_ca_system_score_gemma":0.0007138121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002162582,"about_ca_topic_score_gemma":0.000001102736,"domain_scores_codex":[0.9982167,0.00003392911,0.0006448189,0.0006434293,0.0002571289,0.0002039462],"domain_scores_gemma":[0.9872812,0.01011825,0.00006200912,0.002104965,0.0001467024,0.0002868645],"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":[0.0002934168,0.0004195833,0.9453296,0.001382337,0.0001668348,0.00006466146,0.000009774853,4.00539e-8,0.004920283,0.0007577174,0.02545346,0.02120229],"study_design_scores_gemma":[0.007202607,0.0002115872,0.3846607,0.001386028,0.0003964342,0.00004622504,0.0001188039,0.001528803,0.01050082,0.06697121,0.526558,0.0004187388],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9272555,0.0007362179,0.00007371506,0.01909759,0.0001337281,0.0001393135,0.00001914041,0.00005350766,0.05249126],"genre_scores_gemma":[0.9526911,0.002339989,0.002087713,0.003136052,0.0004623458,0.0000048856,0.00007106479,0.00001410253,0.03919279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5606689,"threshold_uncertainty_score":0.9579593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6448767984077004,"score_gpt":0.6642283990162511,"score_spread":0.01935160060855068,"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."}}