{"id":"W4293192158","doi":"10.5220/0011002600003120","title":"iProfile: Collecting and Analyzing Keystroke Dynamics from Android Users","year":2022,"lang":"en","type":"article","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor; Thompson Rivers University","funders":"","keywords":"Keystroke dynamics; Computer science; Android (operating system); Keystroke logging; Human–computer interaction; Computer security; Operating system; Password","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":[0.0001803668,0.0006558995,0.0004841637,0.002022193,0.0002991038,0.0004764244,0.00040113,0.0004274892,0.001849635],"category_scores_gemma":[0.001659302,0.000172711,0.0001805852,0.0006334773,0.0001978036,0.0004615711,0.0006451636,0.000365323,0.00147913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001263415,"about_ca_system_score_gemma":0.0002867308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001648704,"about_ca_topic_score_gemma":0.00464963,"domain_scores_codex":[0.9995964,0.00005483293,0.00003215896,0.00007780269,0.0001786642,0.00006014397],"domain_scores_gemma":[0.9990335,0.0002823028,0.00013065,0.0001333187,0.0002817066,0.0001386338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002243361,0.0006535059,0.1982554,0.001403745,0.0003273193,0.002606393,0.003587771,0.002492546,0.299911,0.0009285823,0.02265267,0.4649377],"study_design_scores_gemma":[0.0001485069,0.001850676,0.8015813,0.0002455017,0.0002920475,0.007052202,0.003776119,0.05949308,0.09925554,0.00133219,0.02468101,0.000291817],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9523929,0.0007736,0.02883715,0.0001758702,0.0001368657,0.0004107799,0.008019947,0.004472598,0.004780273],"genre_scores_gemma":[0.9741046,0.0004522648,0.01689027,0.0001441897,0.00007943216,0.0002468642,0.003833491,0.0001629685,0.004085853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002022193,"threshold_uncertainty_score":0.006187618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01355176513791548,"score_gpt":0.2281627492006667,"score_spread":0.2146109840627513,"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."}}