{"id":"W2912553136","doi":"","title":"Proceedings of the third ACM international symposium on Design and analysis of intelligent vehicular networks and applications","year":2013,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Presentation (obstetrics); Computer science; Dissemination; Wireless ad hoc network; Vehicular ad hoc network; Intelligent transportation system; Telecommunications; Wireless; Library science; World Wide Web; Engineering; Transport 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":[],"consensus_categories":[],"category_scores_codex":[0.003682133,0.00140678,0.001646884,0.00134178,0.0005644958,0.003893272,0.001874517,0.001377481,0.03085437],"category_scores_gemma":[0.005979758,0.0006832715,0.001055602,0.0008152013,0.001002419,0.001768913,0.001812007,0.002282842,0.01229111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008524627,"about_ca_system_score_gemma":0.001956803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002655508,"about_ca_topic_score_gemma":0.003069228,"domain_scores_codex":[0.997334,0.0006932805,0.0002716809,0.0002762497,0.001265562,0.0001592674],"domain_scores_gemma":[0.9961564,0.0008044605,0.0001419428,0.0007998597,0.001782839,0.0003145914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003652953,0.0002911372,0.002942984,0.0009846075,0.0004761471,0.0004806616,0.0004233981,0.0278228,0.01771533,0.08036294,0.2386084,0.6295263],"study_design_scores_gemma":[0.00004773733,0.0003834374,0.00152139,0.0003297465,0.0001849783,0.0005266094,0.0001512246,0.06464218,0.006825723,0.02851699,0.8967951,0.00007476043],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.006337564,0.02555346,0.8684115,0.003595312,0.01441699,0.0006087833,0.001003184,0.002177526,0.0778957],"genre_scores_gemma":[0.197403,0.05604126,0.4090619,0.002740427,0.006838975,0.001292639,0.007715817,0.00235137,0.3165546],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03085437,"threshold_uncertainty_score":0.1032181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007909654835815317,"score_gpt":0.2013780577808356,"score_spread":0.1934684029450202,"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."}}