{"id":"W3048196304","doi":"10.1007/978-3-030-51229-3_7","title":"Safety-Aware and Distributed Beacon Congestion Control","year":2020,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Beacon; Channel (broadcasting); Real-time computing; Network congestion; Computer network; Reliability (semiconductor); Heuristic; Power (physics); Network packet","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":[0.0004038055,0.0007031494,0.0003924783,0.0004514642,0.0002793851,0.001143174,0.001355695,0.0006872742,0.006405669],"category_scores_gemma":[0.001008747,0.0003419286,0.0002572087,0.0007717329,0.0005355158,0.001788313,0.0009120625,0.001199483,0.00154015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005556399,"about_ca_system_score_gemma":0.0005354387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009121108,"about_ca_topic_score_gemma":0.001127907,"domain_scores_codex":[0.999674,0.00004217356,0.00001137426,0.00006876361,0.0001769661,0.00002678879],"domain_scores_gemma":[0.999706,0.000119543,0.0000196053,0.00005854351,0.00008156575,0.00001469874],"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":[0.0001001137,0.00009688795,0.0002066968,0.0003210617,0.00002131049,0.00009324806,0.0001480886,0.1395264,0.01187621,0.2061528,0.03099577,0.6104614],"study_design_scores_gemma":[0.00002193078,0.0001274102,0.0004777127,0.0001509954,0.00003815258,0.0002766926,0.0001001948,0.6007273,0.00924188,0.1441135,0.2446843,0.0000399376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003089797,0.006593345,0.9190764,0.0004459394,0.001013894,0.00005949483,0.00007747203,0.001043877,0.06859971],"genre_scores_gemma":[0.3730585,0.02193651,0.2863025,0.0005753641,0.00137967,0.0002641349,0.0005981497,0.0006419811,0.3152431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006405669,"threshold_uncertainty_score":0.02142912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005199982348347943,"score_gpt":0.1681500278846798,"score_spread":0.1629500455363319,"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."}}