{"id":"W2044556295","doi":"10.1145/2493190.2493213","title":"Improving user authentication on mobile devices","year":2013,"lang":"en","type":"article","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Password; Touchscreen; Computer science; Usability; Human–computer interaction; Mobile device; Authentication (law); Set (abstract data type); Cognitive password; Mobile phone; Multimedia; Password policy; World Wide Web; Computer security; One-time 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":[0.001339967,0.0006496469,0.000438226,0.0006633562,0.0003515951,0.001220943,0.0005019179,0.0005517556,0.005510113],"category_scores_gemma":[0.01402137,0.0002548708,0.0003067524,0.0005909146,0.0002636638,0.002181354,0.002225009,0.0004070041,0.002365355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001875632,"about_ca_system_score_gemma":0.0001483692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003513326,"about_ca_topic_score_gemma":0.0004255088,"domain_scores_codex":[0.9977533,0.0009506868,0.0002364378,0.0002190581,0.0006505805,0.0001899297],"domain_scores_gemma":[0.9939418,0.002269142,0.0005727715,0.001713996,0.001289969,0.0002122278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008943134,0.0003882457,0.02337009,0.0009632384,0.0000540991,0.0004046019,0.00163503,0.002817036,0.1688525,0.001769728,0.00472717,0.794124],"study_design_scores_gemma":[0.0005117156,0.01747636,0.2793969,0.001234674,0.000631685,0.008184475,0.004081019,0.1151559,0.4540769,0.006100624,0.1125764,0.000573355],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.848718,0.001384535,0.1325379,0.0003717278,0.00009001349,0.0005122276,0.0002052377,0.00444714,0.01173317],"genre_scores_gemma":[0.9368966,0.0004956083,0.06010608,0.00009618347,0.00002348891,0.00008450023,0.000134494,0.00006781366,0.002095258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005510113,"threshold_uncertainty_score":0.01843321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053188682743092,"score_gpt":0.2323220229877893,"score_spread":0.2217901361603584,"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."}}