{"id":"W2910266708","doi":"10.3390/asi2010004","title":"Design and Implementation of a Contextual-Based Continuous Authentication Framework for Smart Homes","year":2019,"lang":"en","type":"article","venue":"Applied System Innovation","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Security token; Computer science; Computer security; Authentication (law); Password; Multi-factor authentication; Physical access; Access control; Session (web analytics); Authentication protocol; World Wide Web","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":[0.001072197,0.0004755859,0.0004959393,0.0005925453,0.0007319092,0.001389392,0.00180129,0.001086269,0.004032499],"category_scores_gemma":[0.001258888,0.000352985,0.0006383467,0.0003126999,0.0008559941,0.002109907,0.002072695,0.001053877,0.001121612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007468698,"about_ca_system_score_gemma":0.001459151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004694318,"about_ca_topic_score_gemma":0.003894318,"domain_scores_codex":[0.9990853,0.0001833013,0.00009600414,0.0001510974,0.000272586,0.0002116282],"domain_scores_gemma":[0.9994614,0.00008296111,0.00006650612,0.00007741266,0.0002014614,0.0001102698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001187936,0.001051409,0.008651539,0.001425899,0.0002062915,0.003510067,0.005343628,0.09174848,0.1438671,0.3102864,0.01902946,0.4136918],"study_design_scores_gemma":[0.000212956,0.0008303222,0.003003039,0.000290733,0.0002528886,0.001338952,0.001115709,0.7248105,0.07276274,0.01790529,0.1772108,0.000266081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01802018,0.0002521419,0.9720048,0.0002038456,0.00008771939,0.0006209298,0.00008131408,0.004013768,0.004715146],"genre_scores_gemma":[0.479041,0.0003712226,0.5125973,0.0002249889,0.00006354819,0.0006201342,0.0002584687,0.0001842132,0.00663909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004694318,"threshold_uncertainty_score":0.01349002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020763288092525,"score_gpt":0.2790200694814163,"score_spread":0.2588124366004911,"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."}}