{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001237855,0.00007441737,0.00006892899,0.00007070998,0.0000741255,0.0003448194,0.000522512,0.00003359302,0.0002374093],"category_scores_gemma":[0.00001360253,0.00005833424,0.00003232413,0.000155419,0.0000119592,0.000584341,0.00007413139,0.00004747989,0.003910817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001836785,"about_ca_system_score_gemma":0.0000160481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001647829,"about_ca_topic_score_gemma":0.00001148737,"domain_scores_codex":[0.9992222,0.00003605495,0.0001666254,0.000240456,0.0001867863,0.0001478391],"domain_scores_gemma":[0.9992193,0.00004503366,0.00006066775,0.0005207776,0.00008220151,0.00007200614],"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":[0.000002353635,0.0006212517,0.006470657,0.000109963,0.00004656259,0.000001618614,0.05374035,0.00000894125,0.02316821,0.7392972,0.01341379,0.1631192],"study_design_scores_gemma":[0.0003750024,0.0001655918,0.03443244,0.00002874916,0.000006818896,0.000006240855,0.0005011518,0.9161536,0.009633682,0.003887116,0.03438215,0.0004274892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7171152,0.00004570168,0.2687761,0.002321773,0.0006041923,0.0009322112,5.591387e-7,0.0006771157,0.00952716],"genre_scores_gemma":[0.9922571,7.625008e-7,0.002648551,0.0007223793,0.0000293052,0.0001118656,0.000001333983,0.0000047654,0.004224008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9161446,"threshold_uncertainty_score":0.9968647,"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."}}