{"id":"W2161298857","doi":"10.1109/surv.2012.101912.00184","title":"Vehicular Networks for a Greener Environment: A Survey","year":2012,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Computer science; Implementation; Wireless ad hoc network; Open research; Power consumption; Vehicular ad hoc network; Fuel efficiency; Telecommunications; Vehicular communication systems; Perspective (graphical); Computer security; Computer network; Wireless; Power (physics); World Wide Web; Engineering; Software 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009450765,0.0003666999,0.0005127034,0.0001006238,0.0003277738,0.00008176943,0.001236238,0.000315717,0.00005890521],"category_scores_gemma":[0.0002350947,0.0003987421,0.0001968747,0.0003305317,0.0001724573,0.0003630147,0.0001873443,0.0003814332,0.0001704817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002322577,"about_ca_system_score_gemma":0.00002985562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002342083,"about_ca_topic_score_gemma":0.0004559589,"domain_scores_codex":[0.9955641,0.002358458,0.0006647999,0.0002483504,0.0002604126,0.0009038635],"domain_scores_gemma":[0.9942811,0.002188167,0.0001286418,0.00300624,0.000110738,0.0002851874],"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":[0.00001218864,0.0001953103,0.01085018,0.00002687475,0.0003327121,5.339762e-7,0.0002064991,0.9647344,0.001153145,0.000568866,0.01674453,0.005174773],"study_design_scores_gemma":[0.001107399,0.00004426081,0.06971329,0.00004840487,0.0001619356,0.00001087324,0.00001785068,0.5200949,0.0005606608,0.0001395805,0.4070472,0.001053674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1313408,0.03186822,0.8165285,0.0001935626,0.01272588,0.00328843,0.0007144307,0.001416967,0.001923168],"genre_scores_gemma":[0.9898431,0.001755306,0.004718426,0.0000457937,0.00172187,0.0005942945,0.0009765097,0.000155341,0.0001893191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8585023,"threshold_uncertainty_score":0.9998465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0489858521559151,"score_gpt":0.2654482710910962,"score_spread":0.2164624189351811,"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."}}