{"id":"W2996014072","doi":"10.1109/iemcon.2019.8936186","title":"Application of Blockchain to Patient-Centric Access Control in Medical Data Management Systems","year":2019,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Blockchain; Encryption; Computer science; Access control; Computer security; Data sharing; Attribute-based encryption; Enforcement; Role-based access control; Public-key cryptography","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":[0.003169382,0.0002138941,0.0004261739,0.000508757,0.0008624204,0.001252142,0.000670842,0.0008335861,0.002584509],"category_scores_gemma":[0.004763512,0.0001948835,0.0002902793,0.0006774999,0.000896083,0.001684097,0.00193043,0.0007917178,0.0003268447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007047635,"about_ca_system_score_gemma":0.001818005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001937612,"about_ca_topic_score_gemma":0.001666831,"domain_scores_codex":[0.9976284,0.001109966,0.0001547513,0.0001975671,0.0007086036,0.0002007848],"domain_scores_gemma":[0.9973686,0.001144451,0.0001980185,0.0005688218,0.000503276,0.0002169089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005713557,0.0003256594,0.003845101,0.0003208762,0.0001276455,0.001333204,0.001011197,0.3977793,0.0310806,0.3355058,0.004399357,0.2236999],"study_design_scores_gemma":[0.0001044025,0.0002121385,0.0003613984,0.00005162631,0.00002818655,0.0002655186,0.00009293204,0.8685781,0.01334405,0.09716956,0.01976077,0.00003138469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08695668,0.0009330344,0.8969762,0.00293274,0.000198314,0.0003196322,0.00009611141,0.0006806315,0.01090663],"genre_scores_gemma":[0.9219697,0.0005787566,0.0731528,0.0001463827,0.00006557356,0.00009834645,0.00006462364,0.00002897865,0.0038949],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003169382,"threshold_uncertainty_score":0.01676154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259564941077455,"score_gpt":0.2680978775533673,"score_spread":0.2555022281425927,"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."}}