{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008680641,0.000435385,0.000618776,0.0007373393,0.0007313187,0.001171311,0.0008535067,0.00111269,0.03709201],"category_scores_gemma":[0.002751204,0.0001969712,0.0004265098,0.0008419276,0.0005907727,0.003366608,0.001967631,0.001194316,0.01816082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004819776,"about_ca_system_score_gemma":0.0008541108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004897572,"about_ca_topic_score_gemma":0.0005615384,"domain_scores_codex":[0.9991234,0.0001742244,0.00009998533,0.0001699491,0.0003359603,0.00009649945],"domain_scores_gemma":[0.9987419,0.0002206784,0.0001101255,0.0004764147,0.0003159917,0.0001349348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001346705,0.0002187331,0.002692349,0.001108557,0.00007389172,0.001092591,0.0007329569,0.001877675,0.1134307,0.2068785,0.08197682,0.5885705],"study_design_scores_gemma":[0.0002456409,0.001455918,0.004742406,0.0002198675,0.0001039478,0.007263171,0.0002331548,0.03196364,0.07274002,0.04673977,0.8341133,0.0001791905],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.04825977,0.004311261,0.8436043,0.001597942,0.002149965,0.001711689,0.002801076,0.0169711,0.07859296],"genre_scores_gemma":[0.5267231,0.002505467,0.3432866,0.001086748,0.0004439422,0.0009699332,0.005106049,0.0007064305,0.1191717],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03709201,"threshold_uncertainty_score":0.1240851,"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."}}