{"id":"W2888078885","doi":"10.1007/978-3-319-93332-0_5","title":"Vehicle-to-Vehicle Communication","year":2018,"lang":"en","type":"book-chapter","venue":"Urban computing","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Dissemination; Computer network; Computer science; Protocol (science); Vehicle-to-vehicle; Communications protocol; Intelligent transportation system; Routing protocol; Information Dissemination; Network topology; Telecommunications network; Routing (electronic design automation); Distributed computing; Telecommunications; Engineering; Transport engineering; World Wide Web","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":[0.0001645075,0.0009081872,0.0004920145,0.0007406718,0.0005492111,0.001930338,0.001067238,0.001046769,0.03489031],"category_scores_gemma":[0.0004154823,0.00032225,0.0002628303,0.00208506,0.0004552651,0.002455485,0.001285413,0.0009642223,0.0251059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006523883,"about_ca_system_score_gemma":0.0006689694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001257229,"about_ca_topic_score_gemma":0.002047049,"domain_scores_codex":[0.9997752,0.00002740902,0.000008317958,0.0000473323,0.0001145815,0.00002713613],"domain_scores_gemma":[0.9998785,0.00002961362,0.000005138832,0.00002350337,0.00005318159,0.00001005106],"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":[0.00002328108,0.00004359723,0.0001069946,0.0004530216,0.00001446118,0.0001024325,0.0001209714,0.01027059,0.002831348,0.161231,0.1989001,0.6259022],"study_design_scores_gemma":[0.000001964868,0.0000143485,0.0001026042,0.0001197167,0.000004767799,0.0001322683,0.00006031573,0.004381627,0.0009782229,0.02792235,0.9662725,0.000009135052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001636325,0.03156558,0.1889789,0.001683814,0.005048036,0.0001228024,0.0005279604,0.001632396,0.7688042],"genre_scores_gemma":[0.03314685,0.05256031,0.03574977,0.0006611333,0.001418706,0.0001181668,0.001133339,0.0004470553,0.8747646],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03489031,"threshold_uncertainty_score":0.1167198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138528405149297,"score_gpt":0.2026297340904627,"score_spread":0.1912444500389697,"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."}}