{"id":"W2114542697","doi":"10.1109/icdsp.2009.5201080","title":"On supporting anonymity in a BAN biometric framework","year":2009,"lang":"en","type":"article","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Anonymity; Computer science; Biometrics; Computer security; Private information retrieval; Fingerprint (computing); Internet privacy; Service provider; Personally identifiable information; World Wide Web; Service (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009395802,0.0007961387,0.001070869,0.00170859,0.003753519,0.004714949,0.003019236,0.002745226,0.00382373],"category_scores_gemma":[0.009105863,0.0005238503,0.001318966,0.001418064,0.003826943,0.01092472,0.007760371,0.004176568,0.001432061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593939,"about_ca_system_score_gemma":0.002533141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002799904,"about_ca_topic_score_gemma":0.002468238,"domain_scores_codex":[0.9907831,0.00324662,0.0004272362,0.0009892321,0.003451978,0.00110176],"domain_scores_gemma":[0.9903089,0.003087095,0.000620595,0.002876326,0.002328469,0.0007785363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003057651,0.000136167,0.0006042244,0.00009941537,0.00003180732,0.0004891413,0.0004539861,0.01617853,0.005862653,0.9294112,0.003634465,0.04279271],"study_design_scores_gemma":[0.0001006875,0.000254652,0.0006020538,0.0001059177,0.00008729162,0.0012105,0.0004443673,0.3184163,0.009458564,0.6120766,0.05708775,0.0001553321],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01739712,0.0005637219,0.9593675,0.002352298,0.0002410938,0.0001300763,0.0001009083,0.001012828,0.01883442],"genre_scores_gemma":[0.5549806,0.0009242127,0.4276923,0.001065033,0.0006113691,0.0003859955,0.0002684213,0.0002077991,0.01386418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009395802,"threshold_uncertainty_score":0.04969037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581870266864017,"score_gpt":0.2955765999037104,"score_spread":0.2797578972350703,"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."}}