{"id":"W1579704031","doi":"10.1007/11552338_5","title":"User-Managed Access Control for Health Care Systems","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Access Control and Trust","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Access control; Health care; Control (management); Human–computer interaction; Computer security; Artificial intelligence","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001389466,0.0004009448,0.0007537513,0.0004710185,0.001264713,0.001221372,0.002580448,0.0003559479,0.00003188471],"category_scores_gemma":[0.0001677731,0.0003617248,0.0001746696,0.0003155829,0.0009043664,0.0006743871,0.0002507441,0.0005022169,0.00001578793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008549735,"about_ca_system_score_gemma":0.00157682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001088735,"about_ca_topic_score_gemma":0.00963952,"domain_scores_codex":[0.9963768,0.00009426532,0.0005342973,0.00103799,0.001012343,0.0009442642],"domain_scores_gemma":[0.9975242,0.0007682141,0.0004534163,0.0005507579,0.0004261916,0.0002772126],"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":[0.00004539917,0.0000235405,0.0002986177,0.000213447,0.00003850142,0.00001564508,0.005041963,0.02278259,0.000001079495,0.097768,0.0003426019,0.8734286],"study_design_scores_gemma":[0.004094406,0.000517324,0.0007171743,0.001482547,0.0001031259,0.000009755964,0.00003946712,0.06424744,0.00001432123,0.03407145,0.8922285,0.002474417],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00001701814,0.004368929,0.9724339,0.006316016,0.002952804,0.002171851,0.00006662251,0.0001523986,0.01152049],"genre_scores_gemma":[0.9798996,0.0001806352,0.00737023,0.005881534,0.004704006,0.00009439934,0.00001675761,0.00005583781,0.001797042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9798825,"threshold_uncertainty_score":0.9998835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221771270795109,"score_gpt":0.3235539874301723,"score_spread":0.3013768603506614,"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."}}