{"id":"W4388654900","doi":"10.3390/computers12110233","title":"PUFGuard: Vehicle-to-Everything Authentication Protocol for Secure Multihop Mobile Communication","year":2023,"lang":"en","type":"article","venue":"Computers","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Computer security; Authentication (law); Anonymity; Key (lock); Authentication protocol; Context (archaeology); Wireless; Secure communication; Computer network; Encryption; Telecommunications","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":[0.001828588,0.0007053225,0.0007042291,0.0008753489,0.001097062,0.001286555,0.001536987,0.001652338,0.005125713],"category_scores_gemma":[0.00361111,0.0003037717,0.0007378124,0.0006877243,0.001395902,0.003159733,0.003033683,0.002551213,0.002590427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007194119,"about_ca_system_score_gemma":0.002120522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005959884,"about_ca_topic_score_gemma":0.0005493648,"domain_scores_codex":[0.9985484,0.0004287171,0.0001589206,0.0001921799,0.0004893563,0.000182332],"domain_scores_gemma":[0.9987854,0.0002846531,0.0001722404,0.0003885277,0.0002813558,0.00008779993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007152158,0.0001348228,0.0009432164,0.001079038,0.0001206477,0.001639307,0.000794016,0.02376607,0.05362481,0.6287766,0.03555592,0.2528504],"study_design_scores_gemma":[0.0001865432,0.001110517,0.0008658376,0.0005033629,0.000180414,0.003206622,0.0003434195,0.3147036,0.06444552,0.1643239,0.4498919,0.0002384223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005636326,0.0009654338,0.9804985,0.0005863378,0.0005975212,0.0004374571,0.0002427013,0.003264899,0.007770947],"genre_scores_gemma":[0.6117778,0.002704867,0.3518767,0.001539173,0.0005365926,0.00197707,0.00194249,0.0004357976,0.02720953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005125713,"threshold_uncertainty_score":0.01714718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02934538011048087,"score_gpt":0.3228911772380093,"score_spread":0.2935457971275284,"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."}}