{"id":"W4318147159","doi":"10.1109/bigdata55660.2022.10020959","title":"Adaptive Content Forwarding Mechanism for Platoon based Vehicular Named Data Networks","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Big Data (Big Data)","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Platoon; Computer science; Computer network; Overhead (engineering); Scheme (mathematics); Throughput; The Internet; Vehicular ad hoc network; Data exchange; Electronic data interchange; Protocol (science); Distributed computing; Wireless ad hoc network; Telecommunications; Control (management); Wireless; Database; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008518143,0.0003954249,0.0004712314,0.001084133,0.0009482296,0.0005839454,0.001434562,0.0005344014,0.0009663384],"category_scores_gemma":[0.001842672,0.0001698763,0.0003430872,0.0007013552,0.0004452537,0.001126997,0.0008420768,0.0003769977,0.0002461619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165417,"about_ca_system_score_gemma":0.0009251614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005108405,"about_ca_topic_score_gemma":0.004444557,"domain_scores_codex":[0.9995936,0.00008512679,0.00003147707,0.00008297485,0.0001288791,0.00007800842],"domain_scores_gemma":[0.9989766,0.0002747771,0.0001313871,0.0001884543,0.0003422638,0.00008654725],"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":[0.001748874,0.0004955978,0.01050596,0.0004233566,0.0002854751,0.001470641,0.0014171,0.3277828,0.1272301,0.1245509,0.01950021,0.384589],"study_design_scores_gemma":[0.00005163688,0.0001432011,0.0007404296,0.00001253057,0.0000490057,0.000238583,0.00009561182,0.96709,0.01305425,0.009558567,0.008929804,0.00003645568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1124007,0.0007753872,0.8764396,0.0004357568,0.0003765091,0.0003537768,0.0002591461,0.002384034,0.006575055],"genre_scores_gemma":[0.9280716,0.0002947884,0.06892936,0.0001007718,0.00004899004,0.0001144945,0.0003419272,0.00003447886,0.002063518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005108405,"threshold_uncertainty_score":0.01015735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4758896369626464,"score_gpt":0.3314948332699191,"score_spread":0.1443948036927272,"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."}}