{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01384065,0.0008977699,0.0005575999,0.0009858899,0.001539035,0.005509214,0.001919891,0.002650153,0.004675698],"category_scores_gemma":[0.04164967,0.000777944,0.0007455414,0.0006331463,0.002207984,0.01183584,0.007828738,0.003975613,0.002850944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527817,"about_ca_system_score_gemma":0.003868823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002634519,"about_ca_topic_score_gemma":0.001811382,"domain_scores_codex":[0.9817114,0.006672129,0.001334329,0.001610387,0.006817091,0.001854671],"domain_scores_gemma":[0.9663216,0.004775738,0.004541328,0.01361585,0.009103343,0.001642077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007383628,0.0009556104,0.03013722,0.0006661448,0.0002483522,0.000932942,0.005019694,0.01065949,0.04786468,0.3585701,0.02688274,0.5173246],"study_design_scores_gemma":[0.0002998876,0.0020465,0.01443231,0.001544722,0.0004871835,0.003158506,0.003906684,0.1383211,0.1460657,0.3813596,0.3078165,0.0005612323],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07036876,0.0007994788,0.825824,0.02488371,0.0009706033,0.0004720592,0.0001956182,0.006472478,0.07001329],"genre_scores_gemma":[0.8239437,0.0004788815,0.1582164,0.002580148,0.0002119604,0.0002417229,0.0001962818,0.0003666855,0.01376424],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01384065,"threshold_uncertainty_score":0.07319731,"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."}}