{"id":"W2908940463","doi":"10.1002/spy2.48","title":"Multimodal mobile keystroke dynamics biometrics combining fixed and variable passwords","year":2019,"lang":"en","type":"article","venue":"Security and Privacy","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Jazan University","keywords":"Password; Keystroke dynamics; Biometrics; Computer science; Keystroke logging; Computer security; Login; Leverage (statistics); Artificial intelligence; Human–computer interaction; S/KEY","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":[0.0004695836,0.0001533207,0.0002387128,0.000219348,0.0001485228,0.0003639554,0.0004985126,0.0001193469,0.00002806968],"category_scores_gemma":[0.00006144006,0.000151222,0.00003426089,0.0006553411,0.00004899609,0.0004825952,0.0005052064,0.0001941566,0.00004129076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003150897,"about_ca_system_score_gemma":0.00004149808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001263069,"about_ca_topic_score_gemma":0.000007831261,"domain_scores_codex":[0.9987184,0.00009274182,0.0002504034,0.000427132,0.000237611,0.0002737413],"domain_scores_gemma":[0.9990219,0.0001968116,0.00009937671,0.0004528745,0.00007353674,0.0001554693],"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":[0.00004275968,0.0007468092,0.1542489,0.0009862125,0.00018243,0.00001605202,0.1843078,0.00001249883,0.001679014,0.6194201,0.0007264209,0.037631],"study_design_scores_gemma":[0.001283432,0.0002095338,0.006071822,0.00005303641,0.00001249255,0.00003308936,0.0004879184,0.9524473,0.0001294091,0.01393942,0.02495375,0.0003787743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743099,0.00055259,0.02224725,0.0004201817,0.0004873789,0.0004356052,0.00002308556,0.0001524325,0.001371575],"genre_scores_gemma":[0.9957705,0.00008443632,0.003696406,0.0001478845,0.00002684191,0.00001433429,0.00001428254,0.000008806983,0.0002365546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9524348,"threshold_uncertainty_score":0.6166653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007538214047042823,"score_gpt":0.2279127090896603,"score_spread":0.2203744950426175,"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."}}