{"id":"W2068648628","doi":"10.1145/2386958.2386961","title":"Adaptive communication gateway for vehicular networking applications","year":2012,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Dedicated short-range communications; Computer network; Computer science; Default gateway; Internetworking; Gateway (web page); Residential gateway; Wireless; Intelligent transportation system; Mobile telephony; Wireless network; Network architecture; Vehicular communication systems; Telecommunications; Mobile radio; Vehicular ad hoc network; Engineering; Wireless ad hoc network; The Internet","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":[0.0002481217,0.0003605612,0.0002347456,0.0003819358,0.0003158871,0.0008236761,0.0009869265,0.0007823771,0.001544825],"category_scores_gemma":[0.0003312609,0.0001406038,0.0002316257,0.0004133137,0.0002320926,0.0008609146,0.0005271738,0.0006500627,0.0009058969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003406681,"about_ca_system_score_gemma":0.0003731507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005644046,"about_ca_topic_score_gemma":0.0007030389,"domain_scores_codex":[0.9998273,0.00004047665,0.00001099346,0.00003061463,0.00006718983,0.0000234084],"domain_scores_gemma":[0.999891,0.00002432647,0.000009573559,0.00002022812,0.00004416037,0.00001075243],"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":[0.0002126188,0.0002721675,0.003512863,0.0007346986,0.00007730402,0.001846621,0.0006169328,0.06391708,0.1402012,0.3831399,0.01600688,0.3894616],"study_design_scores_gemma":[0.00004609623,0.0006769702,0.00302676,0.0002244314,0.0001307102,0.002422774,0.0004186645,0.4970995,0.0574639,0.05285091,0.3855681,0.0000712297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05744776,0.004402511,0.8686539,0.0005186268,0.0005364295,0.0004462168,0.0001021504,0.002288209,0.06560428],"genre_scores_gemma":[0.6858644,0.005498811,0.2727473,0.0005503002,0.0003000272,0.0003653318,0.0005525866,0.0001635851,0.03395756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001544825,"threshold_uncertainty_score":0.005167961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582099672158991,"score_gpt":0.2232238833602047,"score_spread":0.2074028866386148,"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."}}