{"id":"W7117122934","doi":"10.18280/jesa.581115","title":"Bio-Inspired AODV-ACO Routing Protocol for Optimal Routing in VANETs Networks","year":2025,"lang":"","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Routing protocol; Routing (electronic design automation); Enhanced Interior Gateway Routing Protocol; Zone Routing Protocol; Dynamic Source Routing; Protocol (science)","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":[0.0001967872,0.000242083,0.0002999919,0.0004653388,0.0004077447,0.0005549269,0.0006734947,0.000485178,0.0006192054],"category_scores_gemma":[0.0003804319,0.0001299044,0.0002706739,0.0005763997,0.000233776,0.0004495477,0.0003974972,0.0004356459,0.000175902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003719141,"about_ca_system_score_gemma":0.0006466382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002389843,"about_ca_topic_score_gemma":0.00342485,"domain_scores_codex":[0.9998734,0.00002690688,0.000007459334,0.00001960555,0.00005979809,0.00001273921],"domain_scores_gemma":[0.9999051,0.00002521286,0.00001250213,0.00001027066,0.00003963288,0.000007255925],"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":[0.0001802971,0.000183459,0.002507711,0.0004813818,0.0001920756,0.0002664363,0.0001414746,0.4839474,0.06094012,0.06332032,0.008822531,0.3790168],"study_design_scores_gemma":[0.00002393036,0.000138231,0.001268884,0.0000346464,0.00004987469,0.0002626554,0.0001006745,0.9535239,0.01064068,0.01371674,0.02021112,0.00002870994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1088018,0.00809558,0.8517399,0.001362339,0.001107519,0.0001890574,0.0003393536,0.0009696271,0.02739482],"genre_scores_gemma":[0.780408,0.003914345,0.2006827,0.0002893316,0.00009091243,0.0001330828,0.0005508607,0.00007377537,0.01385704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002389843,"threshold_uncertainty_score":0.004751861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749619546868528,"score_gpt":0.2792877261681423,"score_spread":0.261791530699457,"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."}}