{"id":"W4224250370","doi":"10.1155/2022/8680880","title":"Data Transmission Control of Vehicle Ad Hoc Network in Intelligent Transportation Systems for Smart Cities","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Education Department of Jiangxi Province; Natural Science Foundation of Jiangxi Province","keywords":"Computer science; Computer network; Network congestion; Data transmission; Telematics; Transmission (telecommunications); Traffic congestion; Routing (electronic design automation); Engineering; Transport engineering; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005075628,0.0004375398,0.0003664835,0.0004508082,0.0005643949,0.0008917009,0.0007082624,0.0003998804,0.001071156],"category_scores_gemma":[0.0008367127,0.0001334194,0.0002540062,0.0004323818,0.0003392867,0.0007894224,0.000355039,0.0004915639,0.0001951934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006771907,"about_ca_system_score_gemma":0.0006816812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004142627,"about_ca_topic_score_gemma":0.003623232,"domain_scores_codex":[0.9996485,0.00009284996,0.00002712765,0.00009189837,0.00009630821,0.00004328846],"domain_scores_gemma":[0.9996687,0.00009958215,0.00005185871,0.00002723751,0.0001368106,0.00001579459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002063027,0.0001662258,0.004352939,0.0003990041,0.0001119666,0.0003800546,0.0003664684,0.6441823,0.02122184,0.05497902,0.006827417,0.2668065],"study_design_scores_gemma":[0.00001257157,0.0001223757,0.0007974046,0.00002040595,0.00002844442,0.00007575809,0.00009677482,0.9825271,0.003546712,0.005718594,0.007033592,0.0000202451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07537344,0.005114449,0.9040313,0.0006428975,0.0006032765,0.0001380985,0.00007721064,0.0004854968,0.01353389],"genre_scores_gemma":[0.9732473,0.001551641,0.02038113,0.00009962776,0.0001369645,0.00006920587,0.00007813997,0.00001895928,0.00441696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004142627,"threshold_uncertainty_score":0.008237004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398872513179956,"score_gpt":0.234474641746244,"score_spread":0.2204859166144444,"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."}}