{"id":"W2016441392","doi":"10.1109/waina.2014.133","title":"Intent Biometrics: An Enhanced Form of Multimodal Biometric Systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Biometrics; Authentication (law); Computer science; Modal; Computer security; Field (mathematics); Iris recognition; Factor (programming language); Mathematics","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":[0.001430623,0.0006506748,0.0005587312,0.001316918,0.0003073912,0.001595464,0.0008945104,0.00113034,0.006205496],"category_scores_gemma":[0.002965112,0.0002501142,0.0004085811,0.001236367,0.0008593643,0.002353227,0.001744117,0.001088258,0.003683155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003208873,"about_ca_system_score_gemma":0.0002867245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004639562,"about_ca_topic_score_gemma":0.0003708411,"domain_scores_codex":[0.9979755,0.0005066508,0.0001213449,0.0002848895,0.001036464,0.00007517396],"domain_scores_gemma":[0.9989687,0.0002411495,0.0001540138,0.000252296,0.0003317049,0.00005222989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004403245,0.0001235444,0.002699055,0.0009859087,0.00008700991,0.0007352708,0.0008782679,0.003942326,0.1146563,0.1474105,0.01889746,0.7091439],"study_design_scores_gemma":[0.00009308415,0.001113831,0.01672569,0.0006681026,0.0001953771,0.009159991,0.0004942227,0.1050685,0.06759418,0.1373667,0.6611164,0.0004038805],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01490574,0.006298498,0.9389213,0.001589572,0.0006979858,0.0002300448,0.0007020672,0.003561536,0.03309334],"genre_scores_gemma":[0.4189038,0.009990253,0.5143398,0.00186996,0.001597927,0.0004102573,0.001347799,0.0003886079,0.05115153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006205496,"threshold_uncertainty_score":0.02075946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02440264187411499,"score_gpt":0.2652139927013856,"score_spread":0.2408113508272706,"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."}}