{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009712717,0.001186818,0.001062831,0.002393988,0.0007658226,0.002444545,0.001758606,0.001944622,0.004121504],"category_scores_gemma":[0.02745,0.000892111,0.001252268,0.001480388,0.001791309,0.004772026,0.00253007,0.002018683,0.002343779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001313724,"about_ca_system_score_gemma":0.001057489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002179665,"about_ca_topic_score_gemma":0.001011768,"domain_scores_codex":[0.988241,0.006594527,0.000515512,0.001432206,0.002890717,0.0003259085],"domain_scores_gemma":[0.987366,0.007617012,0.001138502,0.002287046,0.001387542,0.0002039244],"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":[0.000625678,0.0002088025,0.005926126,0.0003719291,0.0001921615,0.0008415477,0.001381045,0.2506543,0.01097494,0.2591749,0.005637556,0.464011],"study_design_scores_gemma":[0.0000402355,0.0001738828,0.001320239,0.0001084542,0.00006321511,0.0005664148,0.00009722642,0.8561714,0.01058477,0.1174987,0.01326374,0.0001117022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006776687,0.0002297259,0.9879804,0.0001545675,0.00002469647,0.0001030968,0.00006865726,0.001985756,0.002676291],"genre_scores_gemma":[0.3778517,0.0003739987,0.6163526,0.0001639217,0.00006612736,0.0002654038,0.0002005016,0.0002888592,0.004436851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009712717,"threshold_uncertainty_score":0.05136633,"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."}}