{"id":"W4360584270","doi":"10.1109/mitp.2023.3236532","title":"Implementing Behavioral Biometrics With TRUST","year":2023,"lang":"en","type":"article","venue":"IT Professional","topic":"Information and Cyber Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Queen's University","funders":"","keywords":"Biometrics; Transparency (behavior); Computer security; Internet privacy; Computer science; 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":[0.0004157918,0.00007187507,0.00006486711,0.000297494,0.0003017088,0.00008731203,0.0003903283,0.00003601574,0.0001305537],"category_scores_gemma":[0.00000919851,0.00005261968,0.00002544314,0.001752591,0.00001836203,0.0005759592,0.0003712549,0.0001141127,0.0003900007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002025417,"about_ca_system_score_gemma":0.0001055637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001082317,"about_ca_topic_score_gemma":0.000009768442,"domain_scores_codex":[0.9989303,0.00002247608,0.0001647652,0.0001379227,0.0004171574,0.0003273813],"domain_scores_gemma":[0.9995632,0.00002977504,0.00007009348,0.0001938208,0.00008071094,0.00006238712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003150853,0.0004194357,0.07913685,0.00008301898,0.00003699871,0.0001136391,0.01861529,0.00001627426,0.0005009575,0.4860983,0.1848831,0.2300647],"study_design_scores_gemma":[0.002584459,0.0003321443,0.2143185,0.0001412147,0.000014836,0.00006132729,0.004514576,0.056224,0.003479,0.003448823,0.7139447,0.0009365148],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9270166,0.00001574451,0.04390632,0.007446019,0.002109374,0.0003836494,0.00002366904,0.0009624706,0.01813622],"genre_scores_gemma":[0.9884791,0.0000018632,0.006874344,0.0008712361,0.00005513439,0.00002821426,0.00004390606,0.000005733441,0.003640427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5290616,"threshold_uncertainty_score":0.50128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04446549516292107,"score_gpt":0.3483600111256233,"score_spread":0.3038945159627022,"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."}}