{"id":"W1576729878","doi":"10.1109/pst.2015.7232961","title":"A secure revocable personal health record system with policy-based fine-grained access control","year":2015,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Attribute-based encryption; Computer security; Access control; Encryption; Revocation; Cryptography; Ciphertext; Cryptographic primitive; Android (operating system); Data sharing; Service provider; Internet privacy; Service (business); Public-key cryptography; Cryptographic protocol; Business","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":[0.0007049698,0.000209754,0.0003383817,0.000237181,0.0001739121,0.0003821514,0.001080719,0.00006228713,0.00001439673],"category_scores_gemma":[0.0000406977,0.0001527136,0.00008466641,0.001157889,0.00005619621,0.0007593962,0.0001313222,0.0001681949,0.00002252422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001463243,"about_ca_system_score_gemma":0.001490074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00497624,"about_ca_topic_score_gemma":0.001904379,"domain_scores_codex":[0.9980793,0.0001730525,0.0002665019,0.0005156528,0.0004645499,0.0005009488],"domain_scores_gemma":[0.9983577,0.00008438902,0.0001649396,0.0006782765,0.0002066331,0.000508045],"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":[0.0005296006,0.0003330215,0.01020216,0.0004711909,0.0001007389,0.00007396536,0.002341777,0.0002431927,0.000009769571,0.8601346,0.117341,0.008218958],"study_design_scores_gemma":[0.01760454,0.003366969,0.003177282,0.0006102366,0.00003552773,0.0002237165,0.001263555,0.87389,0.0001182004,0.00517976,0.0929665,0.001563691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002233505,0.0001426313,0.9797758,0.01339629,0.0001681118,0.0004366342,0.00008502366,0.0005138665,0.003248077],"genre_scores_gemma":[0.9509401,0.000001986563,0.04445871,0.004288095,0.000185223,0.00004517923,0.00002897483,0.00001224438,0.00003951949],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9487066,"threshold_uncertainty_score":0.7522619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02739075941147064,"score_gpt":0.2807596617822251,"score_spread":0.2533689023707545,"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."}}