{"id":"W2096655583","doi":"10.5539/cis.v5n1p77","title":"Robustness of Multi Biometric Authentication Systems against Spoofing","year":2011,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spoofing attack; Biometrics; Computer science; Robustness (evolution); Vulnerability (computing); Computer security; Trait; Authentication (law); Data mining; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001051864,0.0000747885,0.0001049359,0.001993919,0.0001819812,0.0003557868,0.0008456983,0.00003502435,0.000002265446],"category_scores_gemma":[0.00006263013,0.00006584205,0.00002230772,0.00556301,0.0002282315,0.00722107,0.0002634974,0.00004733361,0.00001571761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002744963,"about_ca_system_score_gemma":0.00007786642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001734416,"about_ca_topic_score_gemma":9.281289e-8,"domain_scores_codex":[0.998838,0.00002235592,0.0004038096,0.0001752096,0.0004000627,0.0001605831],"domain_scores_gemma":[0.9987563,0.00002794298,0.0002490257,0.0003646097,0.0005041485,0.00009799196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004707143,0.0001916193,0.002062507,0.0002266356,0.00001310003,5.114806e-7,0.01451837,0.001342084,0.001017077,0.2651947,0.0002488925,0.7151798],"study_design_scores_gemma":[0.0001545194,0.00001953699,0.04521499,0.00001315492,0.000001384669,0.000005947372,0.00005736967,0.9525894,0.0009446216,0.00001340741,0.0008989783,0.00008668749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04736657,0.00006348768,0.9506487,0.00002187568,0.0009241756,0.000132606,0.000002099733,0.00006262127,0.0007778904],"genre_scores_gemma":[0.911531,0.00003591582,0.08834097,0.00006262892,0.00001309169,0.000003836029,0.000002907588,0.000001111806,0.000008541132],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9512473,"threshold_uncertainty_score":0.5235102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05127715975376575,"score_gpt":0.2502041331524494,"score_spread":0.1989269733986836,"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."}}