{"id":"W1826657853","doi":"10.1007/978-3-540-87991-6_3","title":"Designing Privacy-Aware Personal Health Record Systems","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Research Chairs; University of Toronto; University of New Brunswick","funders":"","keywords":"Computer science; Exploit; Patient privacy; Internet privacy; Computer security; Personally identifiable information; Information privacy; Privacy protection; Health care","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":[],"consensus_categories":[],"category_scores_codex":[0.00512491,0.0003911915,0.0007218837,0.0006204938,0.001309315,0.003648798,0.002323842,0.002046277,0.003199503],"category_scores_gemma":[0.01260291,0.00112232,0.0006157461,0.0008759951,0.0008103591,0.004620735,0.003098392,0.001389891,0.0009252381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007810359,"about_ca_system_score_gemma":0.00131209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001520195,"about_ca_topic_score_gemma":0.001751294,"domain_scores_codex":[0.9966953,0.001405511,0.0003245693,0.0004393255,0.0007748169,0.0003604431],"domain_scores_gemma":[0.9954457,0.002598684,0.0003464751,0.0008767154,0.0005131687,0.000219246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001233337,0.0009224935,0.01177186,0.001231654,0.0004211681,0.001940864,0.006216652,0.1728387,0.06806402,0.1945807,0.01900837,0.5217701],"study_design_scores_gemma":[0.0001529385,0.0003240417,0.001750665,0.0001069985,0.0002445237,0.0009806802,0.001792337,0.8234975,0.05558401,0.06831607,0.04716263,0.00008752492],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02963789,0.0004041667,0.9623655,0.0006783541,0.0000607076,0.0005155468,0.00009913377,0.001627319,0.004611386],"genre_scores_gemma":[0.4358003,0.0005673881,0.555684,0.0003174075,0.00006379787,0.0003084501,0.0004145627,0.0002186673,0.006625483],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00512491,"threshold_uncertainty_score":0.02710342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04319655399661164,"score_gpt":0.2650894761429417,"score_spread":0.2218929221463301,"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."}}