{"id":"W4223484661","doi":"10.1155/2022/6903450","title":"A Content Dissemination Technique Based on Priority to Improve Quality of Service of Vehicular Ad Hoc Networks","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":6,"is_retracted":true,"has_abstract":true,"ca_institutions":"Centennial College","funders":"King Saud University","keywords":"Computer science; Computer network; Quality of service; Cloud computing; Mobile ad hoc network; Network packet; The Internet; Wireless ad hoc network; Dissemination; Content delivery; Service (business); Vehicular ad hoc network; Wireless; World Wide Web; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":{"nature":"Retraction","reason":"Concerns/Issues about Data;Concerns/Issues about Results and/or Conclusions;Concerns/Issues about Referencing/Attributions;Concerns/Issues about Peer Review;Investigation by Journal/Publisher;Investigation by Third Party;Paper Mill;Computer-Aided Content or Computer-Generated Content;Unreliable Results and/or Conclusions;","date":"10/11/2023 0:00","openalex_flagged":true},"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009180021,0.0006818878,0.0007247708,0.001835885,0.0008794813,0.0009305776,0.001334502,0.0005224783,0.000803056],"category_scores_gemma":[0.00278024,0.0002436202,0.0005038477,0.001440677,0.0003720898,0.001580975,0.0007159007,0.0007878735,0.0002687382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009324596,"about_ca_system_score_gemma":0.001159118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003670651,"about_ca_topic_score_gemma":0.003201348,"domain_scores_codex":[0.9992286,0.0001328718,0.00005384914,0.0001256144,0.0003596843,0.00009930146],"domain_scores_gemma":[0.9986203,0.0003685353,0.0001121637,0.0001181548,0.0006927997,0.00008809178],"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":[0.0005728944,0.0003224394,0.002686895,0.0007085534,0.0001620608,0.0006080287,0.0005653346,0.08903526,0.186915,0.03055895,0.01000499,0.6778597],"study_design_scores_gemma":[0.0001851586,0.0008328949,0.001462886,0.00006525323,0.0002094861,0.001196736,0.0002203288,0.8958813,0.06084062,0.008790293,0.03019337,0.0001216477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02805269,0.003119976,0.9630908,0.0003113298,0.0004579429,0.0002183269,0.00006954249,0.001067801,0.003611566],"genre_scores_gemma":[0.6763663,0.002551162,0.3163225,0.0002648475,0.0003570076,0.0001733735,0.0002477625,0.0001368684,0.003580109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003670651,"threshold_uncertainty_score":0.007298589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493909890751762,"score_gpt":0.2724229160939411,"score_spread":0.2574838171864235,"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."}}