{"id":"W2487203936","doi":"10.1002/sec.1556","title":"Consent-based access control for secure and privacy-preserving health information exchange","year":2016,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Provincial Foundation for Excellent Young Talents of Colleges and Universities of Anhui Province; Natural Science Foundation of Anhui Province; National Natural Science Foundation of China","keywords":"Computer science; Computer security; Encryption; Access control; Health care; Internet privacy; Cryptography; Collusion; Information privacy; Business; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0008138469,0.0001304313,0.0001817365,0.00009131621,0.0004823172,0.0003856206,0.001095605,0.00009872111,0.000007115602],"category_scores_gemma":[0.00009995169,0.0001056477,0.00004273497,0.0001986344,0.0001280233,0.002086071,0.00070298,0.0001403973,6.831275e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001922824,"about_ca_system_score_gemma":0.00006500167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009789753,"about_ca_topic_score_gemma":0.0003154726,"domain_scores_codex":[0.998896,0.0002437696,0.0002898272,0.0001999306,0.0001175508,0.0002529437],"domain_scores_gemma":[0.9976605,0.0008355849,0.0002385985,0.001005214,0.0001203697,0.0001397848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002314521,0.0001761005,0.005845561,0.0005495052,0.00007033973,3.762543e-7,0.007081195,0.00008032898,0.000008393101,0.6659828,0.02511406,0.2948599],"study_design_scores_gemma":[0.007093553,0.0002962916,0.009206379,0.00059931,0.00002522131,0.00001114193,0.000216216,0.6478849,0.00003490407,0.1570921,0.1769039,0.0006360544],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004128343,0.004712789,0.9698146,0.02032105,0.00007657346,0.0006171202,0.00008669765,0.0001239166,0.0001189444],"genre_scores_gemma":[0.9869283,0.003773561,0.005848543,0.003238046,0.00003192291,0.00009338607,0.00008070429,0.000004648615,8.854882e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9827999,"threshold_uncertainty_score":0.4308188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02331336092062997,"score_gpt":0.2838272783142137,"score_spread":0.2605139173935838,"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."}}