{"id":"W3096449912","doi":"10.1109/cw49994.2020.00047","title":"Secure and Privacy preserving Biometric based User Authentication with Data Access Control System in the Healthcare Environment","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Identifier; Computer science; Computer security; Authentication (law); Access control; Information privacy; Personally identifiable information; Internet privacy; Computer network","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":[0.0008900333,0.000259497,0.0005254979,0.0004892547,0.0007227323,0.0008540424,0.0006221955,0.0009157944,0.001541491],"category_scores_gemma":[0.001497542,0.0001272836,0.0004420328,0.0005824546,0.0005246474,0.001605232,0.001230763,0.0006521381,0.0009565149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004720303,"about_ca_system_score_gemma":0.0007316166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008890917,"about_ca_topic_score_gemma":0.0004382632,"domain_scores_codex":[0.9982526,0.0004749682,0.0001751309,0.0002470321,0.0006416563,0.0002086426],"domain_scores_gemma":[0.9991632,0.0001111961,0.0001534421,0.0002538174,0.0002612892,0.00005712355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002074868,0.0004915294,0.008940578,0.0006763152,0.0001549026,0.00361563,0.001356771,0.02839421,0.4752987,0.08856053,0.009724199,0.3807117],"study_design_scores_gemma":[0.0001596456,0.001516144,0.007541261,0.0001475288,0.0001724083,0.006137223,0.0003723,0.6585973,0.2684844,0.01646933,0.04017642,0.0002260647],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1173073,0.001277128,0.8694787,0.0007557695,0.0002272311,0.000288645,0.0001291971,0.003801944,0.006734045],"genre_scores_gemma":[0.9319863,0.0003612384,0.06292965,0.0001343693,0.00005190243,0.00009985086,0.0001006275,0.00002318265,0.004312939],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001541491,"threshold_uncertainty_score":0.005156815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07102752517695086,"score_gpt":0.3107593401737612,"score_spread":0.2397318149968103,"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."}}