{"id":"W4311529517","doi":"10.3390/electronics11234016","title":"Smart Chatbot for User Authentication","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Taif University","keywords":"Multi-factor authentication; Computer science; Authentication (law); Chatbot; Challenge-Handshake Authentication Protocol; Computer security; Authentication protocol; Challenge–response authentication; Lightweight Extensible Authentication Protocol; Password; Email authentication; Chip Authentication Program; Generic Bootstrapping Architecture; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004284327,0.00006799231,0.00008033231,0.00006747058,0.0003165794,0.0000802138,0.000678503,0.0000184568,0.00004235555],"category_scores_gemma":[0.00001821344,0.00007487448,0.00006032042,0.0002523275,0.000008212218,0.0001393875,0.0001302772,0.000107126,0.00003584998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000128701,"about_ca_system_score_gemma":0.0001213907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002074059,"about_ca_topic_score_gemma":0.000008630906,"domain_scores_codex":[0.9990402,0.00006383344,0.0001584552,0.0002427837,0.0002268668,0.000267888],"domain_scores_gemma":[0.9993494,0.00004535469,0.00007063312,0.0004448596,0.00004797475,0.00004184678],"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":[0.000007749041,0.0001522285,0.0001455292,0.00001433048,0.00002581726,4.404166e-7,0.01362974,0.000009734202,0.001987024,0.9685773,0.008172385,0.007277728],"study_design_scores_gemma":[0.0002425032,0.0001269299,0.0001763267,9.330543e-7,0.00000522792,0.000008899595,0.00004339795,0.1062453,0.00087,0.01289851,0.8792734,0.0001086045],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08257693,0.003633797,0.8944709,0.01457862,0.001693761,0.001460192,0.00001750665,0.000630598,0.0009376932],"genre_scores_gemma":[0.993424,0.00001636957,0.001375182,0.0005720606,0.00004026843,0.0003434221,0.00002274605,0.00001075734,0.004195207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9556788,"threshold_uncertainty_score":0.3053293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415710660161663,"score_gpt":0.2461487300195164,"score_spread":0.2319916234178998,"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."}}