{"id":"W4240459155","doi":"10.32920/ryerson.14652960.v1","title":"Authentication protocols for smart homes","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Password; Mutual authentication; Computer science; Authentication (law); Multi-factor authentication; Computer security; Smart card; Authentication protocol; Scheme (mathematics); Computer network; Challenge–response authentication; Lightweight Extensible Authentication Protocol","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":[0.001698607,0.0007733362,0.0006188254,0.0008995373,0.001411721,0.002126894,0.0008811875,0.001853859,0.009141501],"category_scores_gemma":[0.003604363,0.0005451203,0.0007771297,0.001088999,0.001877976,0.005553948,0.002842657,0.002340797,0.003465926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123714,"about_ca_system_score_gemma":0.001241832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004012048,"about_ca_topic_score_gemma":0.0003615823,"domain_scores_codex":[0.9978008,0.0006882168,0.0002158337,0.0003500387,0.0007458937,0.0001991328],"domain_scores_gemma":[0.9979584,0.000593691,0.000228149,0.0007539398,0.0003966317,0.00006912522],"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":[0.0001208761,0.00004758229,0.000190977,0.0003452966,0.00002346611,0.0002262429,0.00047679,0.005062066,0.01320793,0.8912922,0.008291854,0.08071481],"study_design_scores_gemma":[0.0001514473,0.0002208858,0.0003679639,0.0004188526,0.00008738803,0.001223414,0.0003470592,0.08826699,0.03235183,0.5908722,0.285578,0.0001139368],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007807279,0.003287932,0.9545221,0.001157007,0.0005691856,0.0004679594,0.0001270454,0.001384131,0.0306773],"genre_scores_gemma":[0.4095238,0.006942621,0.5403982,0.001201993,0.0006157187,0.001561031,0.0005952398,0.0002260911,0.03893533],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009141501,"threshold_uncertainty_score":0.03058136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04657251934913454,"score_gpt":0.3591507191921819,"score_spread":0.3125781998430474,"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."}}