{"id":"W4411125942","doi":"10.1007/978-981-96-5190-0_1","title":"Emerging Trends in Vehicular Communication and Routing for Intelligent Transportation Systems","year":2025,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"","keywords":"Intelligent transportation system; Vehicular communication systems; Computer science; Routing (electronic design automation); Vehicle routing problem; Vehicular ad hoc network; Computer network; Transport engineering; Telecommunications; Engineering; Wireless ad hoc network; Wireless","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":[0.0007614999,0.0008654283,0.0006051271,0.001503922,0.0004582697,0.003726721,0.00117273,0.001349901,0.01609389],"category_scores_gemma":[0.001454046,0.0003465024,0.0003513825,0.004801534,0.0009322509,0.005563313,0.001109601,0.002320531,0.006089332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001009859,"about_ca_system_score_gemma":0.001046913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001203606,"about_ca_topic_score_gemma":0.002370756,"domain_scores_codex":[0.9995075,0.0001008365,0.00003421263,0.00008181738,0.0002345801,0.00004096673],"domain_scores_gemma":[0.9989153,0.0005259569,0.00004922094,0.00007760588,0.0003596689,0.00007234982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002721676,0.00007314112,0.000313545,0.001320739,0.0000174612,0.0001180343,0.0002844991,0.002752015,0.001754554,0.365187,0.1488157,0.4793361],"study_design_scores_gemma":[0.000002708593,0.00003737985,0.0002759736,0.0004215467,0.0000113944,0.0002597672,0.0002087079,0.002987528,0.0003308365,0.07364551,0.9218059,0.00001285554],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004244025,0.5883476,0.08721509,0.01549851,0.01167553,0.00008912183,0.0003499258,0.0005060949,0.2920741],"genre_scores_gemma":[0.03918528,0.6486949,0.06207998,0.004102445,0.009217653,0.00009045123,0.001013263,0.000334643,0.2352815],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01609389,"threshold_uncertainty_score":0.05383939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04203111044938549,"score_gpt":0.3154234651801965,"score_spread":0.273392354730811,"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."}}