{"id":"W1995797608","doi":"10.1109/cies.2014.7011843","title":"Risk profiler in automated human authentication","year":2014,"lang":"en","type":"article","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Authentication (law); Computer science; Interfacing; Biometrics; Process (computing); Measure (data warehouse); Software engineering; Data mining; Computer security; Operating system; Computer hardware","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000530679,0.00006657756,0.00008770685,0.0001255429,0.00006789322,0.00009920287,0.0004621188,0.00004122254,0.00003823673],"category_scores_gemma":[0.00004551528,0.00005778243,0.00002415281,0.0002852834,0.00001555022,0.0002237638,0.00006291617,0.0000652999,0.0004519096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001994789,"about_ca_system_score_gemma":0.00001072056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001201055,"about_ca_topic_score_gemma":0.00006566959,"domain_scores_codex":[0.9990752,0.0001626429,0.0002285294,0.0002321618,0.0001573974,0.000144061],"domain_scores_gemma":[0.9993052,0.00003269194,0.000074217,0.000496612,0.00004235679,0.00004892889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001211628,0.0002699809,0.0539993,0.00002814892,0.00001227402,8.36141e-7,0.03851681,0.000006194971,0.004646186,0.8939133,0.002702015,0.005903739],"study_design_scores_gemma":[0.0002251876,0.00001704133,0.1490164,0.000007572226,0.000001524344,0.000001083256,0.00001904903,0.8417593,0.0007070469,0.005927466,0.002227637,0.00009069275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8330877,0.000009736309,0.1517916,0.001024856,0.0002648149,0.0003595943,7.337416e-7,0.001802677,0.01165831],"genre_scores_gemma":[0.997232,5.592635e-7,0.001669501,0.0001077807,0.00001720538,0.00002214029,0.000003564205,0.000004179792,0.0009431102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8879858,"threshold_uncertainty_score":0.5808535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039212055741475,"score_gpt":0.2614574920178981,"score_spread":0.2510653714604834,"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."}}