{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02503247,0.0002620643,0.001231212,0.0002221434,0.0001440396,0.00009408037,0.001866108,0.001228499,0.00009141365],"category_scores_gemma":[0.3626872,0.000154257,0.0001945877,0.0006047611,0.001045987,0.0005030946,0.001558466,0.0107994,0.00001487951],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001495655,"about_ca_system_score_gemma":0.006052542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002572802,"about_ca_topic_score_gemma":0.00002071391,"domain_scores_codex":[0.9843902,0.0004223847,0.002307707,0.0001857591,0.01216244,0.000531487],"domain_scores_gemma":[0.9453431,0.03276462,0.01288926,0.001785101,0.005501245,0.001716672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001304955,0.0003255091,0.001813434,0.000622358,0.0005522734,0.000006045663,0.001485273,3.528195e-7,0.000001927333,0.00003605622,0.9546775,0.04034872],"study_design_scores_gemma":[0.001152039,0.0006350102,0.0006481127,0.001534106,0.0004610974,0.00004257466,0.001818254,0.0002924755,0.000001389848,0.0007839495,0.9924777,0.0001533621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.005150613,0.02251931,0.001565465,0.1214761,0.8453823,0.001372781,0.0005646848,0.00006425475,0.001904482],"genre_scores_gemma":[0.0009001912,0.3563278,0.006264119,0.001574764,0.6338429,0.000006811062,0.0002449768,0.00006292555,0.0007754721],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3376547,"threshold_uncertainty_score":0.9995822,"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."}}