{"id":"W4251389749","doi":"10.1007/978-3-030-51229-3_1","title":"Introduction","year":2020,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Broadcasting (networking); Vehicular ad hoc network; Computer network; Network topology; Latency (audio); Wireless; Wireless network; Intelligent transportation system; Telecommunications; Transport engineering; Wireless ad hoc network; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005377103,0.0009004673,0.0006027817,0.001573221,0.001198096,0.0043676,0.001630109,0.001821772,0.5561181],"category_scores_gemma":[0.001960749,0.0003431744,0.0004993039,0.001836359,0.0005259903,0.003742879,0.002153536,0.001759609,0.4540459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001166679,"about_ca_system_score_gemma":0.001336662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002162137,"about_ca_topic_score_gemma":0.003487526,"domain_scores_codex":[0.9994361,0.00004733317,0.00002208089,0.0001191964,0.0003149434,0.00006049341],"domain_scores_gemma":[0.9992823,0.00009885485,0.00002798588,0.0000949375,0.0003682422,0.000127735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002135456,0.00004343165,0.00008738854,0.0002054361,0.00000250991,0.00006628354,0.000150837,0.0001831417,0.0006061416,0.04037445,0.7532309,0.2050282],"study_design_scores_gemma":[0.00000100525,0.000004910072,0.00004618002,0.00006152836,5.895106e-7,0.00004064473,0.00002728951,0.00002119239,0.00005240868,0.002243262,0.997499,0.000002056933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003472468,0.004103993,0.004709577,0.002253,0.004674631,0.0001143155,0.001394396,0.000744372,0.9816585],"genre_scores_gemma":[0.0009637679,0.002308893,0.001380427,0.0008678979,0.0006387947,0.00004817691,0.0009188768,0.0001922975,0.992681],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5561181,"threshold_uncertainty_score":0.6331437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006261433076196697,"score_gpt":0.1675254281864728,"score_spread":0.1612639951102761,"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."}}