{"id":"W2593322890","doi":"","title":"Personal Medical Information: Privacy or Personal Data Protection?","year":2006,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Patient Dignity and Privacy","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Personally identifiable information; Internet privacy; Business; Privacy protection; Information privacy; Medical information; Computer security; Computer science; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02120726,0.0005335252,0.001080626,0.001740494,0.004410428,0.01443332,0.00274901,0.01413689,0.007219102],"category_scores_gemma":[0.03742901,0.0004985202,0.0008651434,0.003882546,0.06769328,0.02904916,0.007478103,0.009947063,0.001986543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009465519,"about_ca_system_score_gemma":0.01377599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01482961,"about_ca_topic_score_gemma":0.007412326,"domain_scores_codex":[0.9681166,0.01663114,0.001323485,0.003670707,0.007804373,0.002453636],"domain_scores_gemma":[0.9731418,0.0167688,0.001929792,0.00525498,0.002050717,0.0008539445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004831992,0.000003919804,0.00009655675,0.00005071363,0.000003314073,0.00003424274,0.001424415,0.00004187402,0.00003003328,0.9880762,0.00444257,0.005791286],"study_design_scores_gemma":[0.0000100896,0.0000183947,0.0003482005,0.0006643541,0.00001082391,0.0003386227,0.002181535,0.0002479232,0.0001693426,0.7534317,0.2425557,0.00002329433],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00583099,0.04066476,0.04229318,0.6123322,0.002835222,0.0001046852,0.0002800709,0.00007736204,0.2955815],"genre_scores_gemma":[0.6633413,0.05317712,0.02210551,0.1850917,0.008732113,0.0004185527,0.0003437815,0.0001237378,0.06666619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02120726,"threshold_uncertainty_score":0.112156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05484248463691926,"score_gpt":0.2999532785987952,"score_spread":0.245110793961876,"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."}}