{"id":"W2925203728","doi":"10.20532/cit.2018.1004174","title":"Multi-point Security by a Multiplatform-compatible Multifunctional Authentication and Encryption Board","year":2019,"lang":"en","type":"article","venue":"Journal of Computing and Information Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Division of Electrical, Communications and Cyber Systems; National Institute of Standards and Technology","keywords":"Computer science; Encryption; Computer network; Password; Authentication (law); Embedded system; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005893397,0.0001210031,0.000215181,0.0005304398,0.0001611061,0.000157835,0.0002574459,0.0001390184,0.000001621696],"category_scores_gemma":[0.00009419559,0.000107712,0.00004086477,0.0002981666,0.0000546895,0.00239635,0.0002019966,0.0003223435,0.00002008051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004434651,"about_ca_system_score_gemma":0.00003916538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005951479,"about_ca_topic_score_gemma":1.287147e-7,"domain_scores_codex":[0.9988782,0.00002277508,0.0006212445,0.0001029418,0.0001855407,0.0001893007],"domain_scores_gemma":[0.9987534,0.00008194758,0.0006649824,0.000151921,0.0002851845,0.00006259343],"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":[0.0001217601,0.000409361,0.06703803,0.0004829725,0.0002175712,0.00000400218,0.03137228,0.001077838,0.01977117,0.03443816,0.01039277,0.8346741],"study_design_scores_gemma":[0.001638629,0.0002936496,0.009344329,0.0001009208,0.00000857766,0.0002643476,0.0004780207,0.9764044,0.00173967,0.002413554,0.007128438,0.0001854879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5773709,0.00009096,0.4205908,0.0005354757,0.001187234,0.00008393137,2.058301e-7,0.00007375744,0.00006666394],"genre_scores_gemma":[0.9455156,0.00003070907,0.05420046,0.0001419309,0.00009573211,5.969577e-7,0.000003062564,0.000003243509,0.000008608242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9753265,"threshold_uncertainty_score":0.4392369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005016345552900862,"score_gpt":0.2194194122070933,"score_spread":0.2144030666541924,"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."}}