{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009060533,0.000522674,0.0004416698,0.0005967004,0.0005938349,0.0007527174,0.001266944,0.0008818969,0.01491064],"category_scores_gemma":[0.002423317,0.0002895796,0.0003492135,0.0002731182,0.0005036648,0.001424429,0.001212729,0.0008287146,0.005057613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004124549,"about_ca_system_score_gemma":0.000453978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007622463,"about_ca_topic_score_gemma":0.0009155505,"domain_scores_codex":[0.9992315,0.0002099527,0.00003944312,0.0001552633,0.0002833917,0.00008049312],"domain_scores_gemma":[0.998369,0.0006403252,0.0001073057,0.0003008612,0.0003591292,0.0002232804],"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":[0.003005822,0.00126795,0.005356465,0.00156207,0.0001585228,0.001775409,0.00278759,0.00699407,0.3184855,0.05095726,0.05322968,0.5544196],"study_design_scores_gemma":[0.0003427007,0.003173898,0.01408582,0.0003694748,0.0002235869,0.003746141,0.0006819579,0.5094497,0.1637648,0.02639456,0.2774566,0.0003107476],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08934368,0.001098,0.8211197,0.0006933805,0.0006755562,0.001118073,0.0004500147,0.05002001,0.03548159],"genre_scores_gemma":[0.7431278,0.0002607349,0.1986262,0.0007076878,0.0001618514,0.0007157922,0.0005519736,0.0005967157,0.05525127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01491064,"threshold_uncertainty_score":0.04988104,"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."}}