{"id":"W2403621278","doi":"10.1109/tvt.2015.2440994","title":"Optimizing the Control Channel Interval of the DSRC for Vehicular Safety Applications","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Dedicated short-range communications; Control channel; Computer network; Computer science; Vehicular ad hoc network; Channel (broadcasting); Interval (graph theory); IEEE 802.11p; Wireless ad hoc network; Reliability (semiconductor); Wireless; Mobile radio; Telecommunications; Telecommunications link; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0004213119,0.0002870001,0.000378415,0.0002011599,0.0002723658,0.00002069301,0.0008057054,0.0004068248,0.000007310686],"category_scores_gemma":[0.00001723329,0.0002033135,0.0003409256,0.0007492095,0.000306601,0.00007704454,0.000006794697,0.0007137831,0.00002019654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001758757,"about_ca_system_score_gemma":0.00005643914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008370643,"about_ca_topic_score_gemma":0.00005389699,"domain_scores_codex":[0.9984415,0.0000703715,0.0004587196,0.0003045565,0.0002590606,0.0004657515],"domain_scores_gemma":[0.9984547,0.0001288389,0.00009956522,0.00103408,0.000197847,0.00008497325],"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":[0.00003307735,0.00006404468,0.000002934891,0.00002938644,0.0002430966,0.000001492673,0.0001077739,0.9899547,0.002780816,0.0007214476,0.0002146279,0.005846632],"study_design_scores_gemma":[0.001621023,0.0001352292,0.00001020229,0.00006902149,0.0002613958,0.00006750811,0.0003302962,0.9206733,0.04790699,0.001278852,0.02735622,0.0002899827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01193041,0.000843823,0.9816637,0.002366112,0.0006085074,0.001812182,0.00008153396,0.000566687,0.0001270303],"genre_scores_gemma":[0.9966049,0.00005996774,0.001710377,0.000153045,0.00007521161,0.001256953,0.000004738649,0.00007675052,0.00005807935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9846745,"threshold_uncertainty_score":0.8290882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093835974898831,"score_gpt":0.2134874787812216,"score_spread":0.2025491190322333,"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."}}