{"id":"W4361298651","doi":"10.21203/rs.3.rs-2738981/v1","title":"Using a Privacy-Enhanced Authentication Process to Secure Internet of Things Infrastructures","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vanier College","funders":"","keywords":"Mutual authentication; Computer security; Computer science; Smart grid; Elliptic curve cryptography; Authentication (law); Cryptography; Overhead (engineering); Computer network; Public-key cryptography; Engineering; Encryption","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001079062,0.0002839486,0.0004360289,0.0008304475,0.0001968047,0.0004119174,0.002830723,0.0002774591,0.00004214723],"category_scores_gemma":[0.001130511,0.0002649785,0.0001758961,0.001866825,0.0001327919,0.0004845635,0.005439407,0.001552632,0.00008617988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002811419,"about_ca_system_score_gemma":0.0008253379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006385291,"about_ca_topic_score_gemma":0.00002331036,"domain_scores_codex":[0.9958109,0.0003303218,0.0004560879,0.001063493,0.001672568,0.0006666743],"domain_scores_gemma":[0.9960946,0.0002647136,0.000197728,0.001486293,0.001690031,0.0002666598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006601221,0.002230152,0.00199599,0.03015801,0.001083509,0.0001199287,0.416242,0.03652756,0.08023735,0.3493259,0.02434373,0.05707573],"study_design_scores_gemma":[0.0003536731,0.0004007557,0.007636957,0.003425628,0.00002715174,0.000004277144,0.0006347699,0.2776429,0.04352496,0.6646407,0.0009796133,0.0007286445],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3022623,0.00006917728,0.6938233,0.0008563352,0.0006101616,0.001378703,0.00005269731,0.0003650017,0.0005822715],"genre_scores_gemma":[0.9846398,0.00001441069,0.01454099,0.00004091394,0.0002006405,0.0001746897,0.00005583342,0.00003607179,0.0002966152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6823775,"threshold_uncertainty_score":0.9999803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09940197340758979,"score_gpt":0.4166381942989036,"score_spread":0.3172362208913139,"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."}}