{"id":"W4285464683","doi":"10.32920/ryerson.14662155","title":"Performance Evaluation Of 802.11P Vanets With Different Duty Cycles","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Duty cycle; Revenue; Computer science; Control (management); Service (business); Work (physics); IEEE 802.11p; Duty; Computer network; Transport engineering; Telecommunications; Vehicular ad hoc network; Business; Engineering; Wireless ad hoc network; Wireless; Electrical 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":[],"consensus_categories":[],"category_scores_codex":[0.0006250555,0.0002482835,0.0003767771,0.00006415235,0.00005621183,0.0001881946,0.0008640055,0.0001603365,0.0001339661],"category_scores_gemma":[0.000008264662,0.000171771,0.00008113935,0.0001421683,0.00003681159,0.0001835169,0.001023672,0.0003092132,0.000002916187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006347367,"about_ca_system_score_gemma":0.000333791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004794171,"about_ca_topic_score_gemma":0.00008157962,"domain_scores_codex":[0.9976925,0.0001975683,0.0003307218,0.0005666854,0.0009921589,0.0002204123],"domain_scores_gemma":[0.9980621,0.00005367601,0.0002794305,0.001078404,0.0004597572,0.00006664154],"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":[0.00003611443,0.0002919034,0.02231726,0.0006122236,0.0001438819,0.000006322096,0.0009223175,0.3367898,0.00009902812,0.002114941,0.0004331042,0.6362331],"study_design_scores_gemma":[0.0003723025,0.0001002351,0.1005692,0.0006443255,0.00003163228,0.000004361474,0.00001240955,0.894312,0.003230619,0.0003919017,0.00007433007,0.0002566874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8603088,0.0001768359,0.128938,0.0001574397,0.0003198657,0.005208765,0.000002019182,0.00009030042,0.004798024],"genre_scores_gemma":[0.9868174,0.0000592863,0.0103109,0.00004088864,0.00008874686,0.002553867,0.00002249349,0.00001127946,0.00009514497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6359764,"threshold_uncertainty_score":0.7004617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0443384331366407,"score_gpt":0.2919852995155711,"score_spread":0.2476468663789304,"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."}}