{"id":"W2115883395","doi":"10.1136/amiajnl-2012-001509","title":"Biomedical data privacy: problems, perspectives, and recent advances","year":2012,"lang":"en","type":"editorial","venue":"Journal of the American Medical Informatics Association","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa","funders":"","keywords":"Context (archaeology); Internet privacy; Health care; Data science; Information privacy; Computer science; Big data; Political science; Law; Data mining; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02765506,0.001443585,0.001941078,0.006892412,0.002502457,0.01124609,0.004422153,0.01024378,0.005747949],"category_scores_gemma":[0.0438334,0.001138729,0.001464807,0.01138036,0.01594337,0.03007073,0.006165432,0.01296971,0.001569281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005880921,"about_ca_system_score_gemma":0.004868838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002239586,"about_ca_topic_score_gemma":0.00155337,"domain_scores_codex":[0.9888966,0.004987199,0.0006532657,0.001380232,0.003517694,0.0005649089],"domain_scores_gemma":[0.9170391,0.06774954,0.00222702,0.002997685,0.00773256,0.00225399],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001576671,0.0001518485,0.001260797,0.003501529,0.00008738375,0.0003366167,0.0008385883,0.002005944,0.0002551546,0.4565656,0.06753879,0.4673],"study_design_scores_gemma":[0.00003778215,0.0001332344,0.0009962397,0.004714116,0.00004970294,0.001709407,0.001615926,0.003985265,0.0003666457,0.3876531,0.5986464,0.00009228013],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"editorial","genre_scores_codex":[0.0007718035,0.8799362,0.007189254,0.1012079,0.002302455,0.0000164188,0.00006014771,0.00004268936,0.008473059],"genre_scores_gemma":[0.02682818,0.9239195,0.009574478,0.016247,0.02140468,0.00004900711,0.0001311356,0.00004514992,0.001800953],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.9723449,"threshold_uncertainty_score":0.1462557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1374027271057757,"score_gpt":0.5133070202361707,"score_spread":0.375904293130395,"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."}}