{"id":"W4281759623","doi":"10.1016/j.comcom.2022.05.015","title":"Secure and intelligent slice resource allocation in vehicles-assisted cyber physical systems","year":2022,"lang":"en","type":"article","venue":"Computer Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"Deanship of Scientific Research, King Saud University","keywords":"Computer science; Enabling; Cyber-physical system; Resource allocation; Distributed computing; Resource (disambiguation); Key (lock); Slicing; Resource management (computing); Agile software development; Embedded system; Computer network; Computer security; Software engineering; Operating system","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":[0.0003785488,0.0001345446,0.0001876075,0.0001427434,0.0005028736,0.0001857729,0.002149733,0.00003575963,0.000001919054],"category_scores_gemma":[0.000009600627,0.000145065,0.00004718357,0.0007853904,0.00006912684,0.0001781224,0.003224032,0.0004576385,0.000009947918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001221297,"about_ca_system_score_gemma":0.00004477815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001297134,"about_ca_topic_score_gemma":0.00003041589,"domain_scores_codex":[0.9983922,0.0005502238,0.0002816073,0.0003340222,0.0002271333,0.0002147691],"domain_scores_gemma":[0.9972284,0.0005271349,0.0001110454,0.002000319,0.00005618608,0.00007685467],"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":[0.00001973639,0.001725412,0.005176104,0.00005637906,0.00009556908,0.00001705731,0.02064648,0.06821683,0.0001358947,0.5008687,0.01937898,0.3836628],"study_design_scores_gemma":[0.0002335215,0.00006445662,0.01125146,0.00003088239,0.000006187978,0.00004065904,0.0001529732,0.8831159,0.000004046476,0.0007460815,0.1041768,0.0001769814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.104165,0.006425777,0.872279,0.0127999,0.0006561609,0.001047111,0.00001555773,0.0007462061,0.001865276],"genre_scores_gemma":[0.9805443,0.00006947729,0.01844496,0.0005658698,0.00007556884,0.000180974,0.0000417857,0.00001383073,0.00006325479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8763793,"threshold_uncertainty_score":0.5915578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03391337789624831,"score_gpt":0.2621907547641763,"score_spread":0.228277376867928,"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."}}