{"id":"W2903546147","doi":"10.1109/cybersa.2018.8551445","title":"Compound Password System for Mobile","year":2018,"lang":"en","type":"article","venue":"","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Password; Computer science; Computer security; Password policy; Usability; Authentication (law); S/KEY; One-time password; Challenge–response authentication; Cognitive password; Scheme (mathematics); Mobile device; Authentication protocol; World Wide Web; Human–computer interaction","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":[0.0002010278,0.00005921109,0.00009134841,0.00004000288,0.000120479,0.0001593258,0.0005127069,0.00002857218,0.00001504119],"category_scores_gemma":[0.000005277577,0.00004843282,0.0000419225,0.0001295817,0.00002767075,0.0001542066,0.00006367774,0.00001863672,0.0004269994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002524913,"about_ca_system_score_gemma":0.00002064584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001654022,"about_ca_topic_score_gemma":0.00001756371,"domain_scores_codex":[0.9993545,0.00002469771,0.0001564962,0.0002015254,0.000116405,0.0001463925],"domain_scores_gemma":[0.9992807,0.0000519204,0.00004096998,0.000428059,0.0001387119,0.00005965727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005636564,0.00008518899,0.0003035785,0.0001201879,0.00002862159,0.000001341573,0.01864216,3.143842e-7,0.001012487,0.9467884,0.0261537,0.006858403],"study_design_scores_gemma":[0.0005477809,0.0002496132,0.0002310234,0.00003057377,0.000005488174,0.00002864955,0.0005422541,0.4774988,0.006994208,0.001739868,0.511904,0.0002277385],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02169989,0.00002399021,0.9633737,0.0003471446,0.001172652,0.0004944593,0.0000022705,0.0004588916,0.01242705],"genre_scores_gemma":[0.990533,2.299041e-7,0.006954822,0.0001771781,0.0001656597,0.00009443656,0.000001379819,0.000004271149,0.002069041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9688331,"threshold_uncertainty_score":0.5488356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02071352173803931,"score_gpt":0.2680380818240635,"score_spread":0.2473245600860242,"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."}}