{"id":"W2625688128","doi":"","title":"The Privacy/Security Tradeoff for Multiple Secure Sketch Biometric Authentication Systems","year":2015,"lang":"en","type":"dissertation","venue":"TSpace","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biometrics; Computer security; Sketch; Computer science; Authentication (law); Internet privacy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006583288,0.0009707632,0.001241063,0.0007358971,0.0009331133,0.003168272,0.001306471,0.001450924,0.004416183],"category_scores_gemma":[0.02086576,0.0008833774,0.0009813309,0.0009873181,0.002515861,0.006861211,0.002925816,0.002474386,0.0005731889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00258367,"about_ca_system_score_gemma":0.001182786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005205607,"about_ca_topic_score_gemma":0.0005424941,"domain_scores_codex":[0.9938422,0.003168541,0.0003156948,0.000731893,0.001348834,0.000592713],"domain_scores_gemma":[0.9819156,0.01329685,0.001554034,0.002124525,0.0007606637,0.0003484341],"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":[0.0007788807,0.00009983755,0.001362716,0.0002432109,0.0001053052,0.0002834678,0.0003599463,0.6777798,0.01653615,0.2570047,0.0008511731,0.04459484],"study_design_scores_gemma":[0.00004038227,0.0002165022,0.0003833684,0.00003365678,0.00003782502,0.0002917776,0.0001170991,0.9014369,0.007309225,0.0891894,0.0009058478,0.00003798136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1179412,0.0005792388,0.8719757,0.001326202,0.00002950926,0.0001020099,0.00009572376,0.0001645668,0.007785829],"genre_scores_gemma":[0.9401993,0.0003416842,0.05679623,0.00009543441,0.00004016661,0.00009606612,0.00004846529,0.00004975895,0.002332915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006583288,"threshold_uncertainty_score":0.03481615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03819500174289071,"score_gpt":0.3479060020362641,"score_spread":0.3097110002933734,"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."}}