{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003879343,0.0001756809,0.0001887893,0.0002075483,0.0004465519,0.0002792364,0.001253526,0.00007336982,0.00000524326],"category_scores_gemma":[0.00005538372,0.0001768135,0.0001281334,0.001031512,0.00003887319,0.0005917603,0.0006278815,0.0001696137,0.00031328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009680494,"about_ca_system_score_gemma":0.00007220081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002345387,"about_ca_topic_score_gemma":0.000004937173,"domain_scores_codex":[0.9984792,0.00009579651,0.0002757765,0.0004977404,0.0002703331,0.0003810768],"domain_scores_gemma":[0.9981461,0.0003205317,0.0001047849,0.00105252,0.0002153107,0.0001607096],"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":[0.0002006005,0.001401298,0.0003663994,0.0007932142,0.0002056175,0.0000136092,0.03932933,0.03725233,0.00868221,0.2674275,0.280476,0.363852],"study_design_scores_gemma":[0.001002681,0.0002141711,0.001802834,0.0001093144,0.000007637909,0.000002231451,0.0001075839,0.7808738,0.0008280156,0.01191144,0.202816,0.0003242939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.009939487,0.000004235631,0.9186635,0.002439242,0.0005170034,0.06690207,0.00001429302,0.001313814,0.0002063639],"genre_scores_gemma":[0.412902,0.000002765151,0.1300135,0.001597245,0.000450922,0.4543052,0.0001309239,0.00006141144,0.0005360126],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.78865,"threshold_uncertainty_score":0.7210246,"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."}}