{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004067772,0.00006674224,0.00009990377,0.000489324,0.00003527671,0.0001209846,0.0004663718,0.00005429936,0.00005366455],"category_scores_gemma":[0.0002084323,0.00005744556,0.00003288105,0.001980542,0.000006453761,0.0001655555,0.00003216881,0.00011046,0.0001957714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002788613,"about_ca_system_score_gemma":0.0000199834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002109557,"about_ca_topic_score_gemma":0.000006095288,"domain_scores_codex":[0.9990827,0.00004763578,0.0002270434,0.0002374697,0.0002056853,0.0001994559],"domain_scores_gemma":[0.9993355,0.0001259201,0.00005484028,0.0003960124,0.00002185404,0.00006592784],"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":[0.000002732395,0.0003097537,0.004840158,0.000006222042,0.000002761598,0.00001837622,0.01088319,0.000001884865,0.0001676396,0.9374908,0.0009821339,0.04529437],"study_design_scores_gemma":[0.0008085154,0.0005021619,0.3196935,0.0001241506,0.000002749161,0.00001820297,0.0001890901,0.2911822,0.00246186,0.3803684,0.004011796,0.0006373727],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5916316,0.00003132266,0.3870994,0.006869374,0.0002970068,0.0002229395,4.251496e-7,0.0002843338,0.01356359],"genre_scores_gemma":[0.9923111,0.00000109962,0.005676902,0.001761672,0.00001669719,0.000002071642,4.975989e-7,0.000001767543,0.000228224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5571224,"threshold_uncertainty_score":0.251631,"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."}}