{"id":"W4385386616","doi":"10.18280/ria.370319","title":"Advancements in Biometric Authentication Systems: A Comprehensive Survey on Internal Traits, Multimodal Systems, and Vein Pattern Biometrics","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biometrics; Authentication (law); Computer science; Computer security","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":[0.001435111,0.0002330698,0.000339804,0.005280206,0.0001435025,0.0004884002,0.0008798111,0.0001282909,0.00001033013],"category_scores_gemma":[0.0006396371,0.0002369868,0.00005513053,0.01678753,0.0000861671,0.0003291678,0.0002627043,0.0002211937,0.0006851814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001662037,"about_ca_system_score_gemma":0.00003789714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001349536,"about_ca_topic_score_gemma":0.00004113507,"domain_scores_codex":[0.9970359,0.000351478,0.0008377132,0.000805951,0.0005032243,0.000465711],"domain_scores_gemma":[0.9975994,0.001067432,0.0002722669,0.0006059197,0.0002956286,0.0001593139],"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":[0.0001113735,0.00274035,0.09036285,0.001674395,0.0001750334,0.0002115275,0.009622094,0.0306418,0.007076109,0.02446135,0.005403804,0.8275193],"study_design_scores_gemma":[0.0001466291,0.000124269,0.1286821,0.0001305128,0.000003848971,0.00001068536,0.0004925304,0.8660694,0.0006467431,0.00005527569,0.00337449,0.0002635341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3850866,0.001551753,0.6097386,0.000257355,0.002035123,0.0008539041,0.0001267015,0.0002417068,0.0001082253],"genre_scores_gemma":[0.9984771,0.0004104049,0.0002006283,0.00004485547,0.00003549764,0.00005609076,0.00008385017,0.00001635997,0.0006752383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8354276,"threshold_uncertainty_score":0.9664041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09368449571320188,"score_gpt":0.3202770140850375,"score_spread":0.2265925183718356,"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."}}