{"id":"W3048175825","doi":"10.1007/978-3-030-51229-3_6","title":"Link-Aware Reliable Beaconing Scheme Design","year":2020,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Beacon; Link (geometry); Markov chain; Reliability (semiconductor); Non-line-of-sight propagation; Broadcasting (networking); Computer network; Scheme (mathematics); Wireless; Real-time computing; Telecommunications; Machine learning","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":[0.001048388,0.0006669302,0.0005051445,0.0006890413,0.0004033764,0.0014238,0.002774721,0.0008362556,0.005306705],"category_scores_gemma":[0.002594183,0.0006388066,0.0003707375,0.0007586718,0.000438888,0.001646594,0.001044213,0.00117339,0.002187366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008938002,"about_ca_system_score_gemma":0.0007962855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005792406,"about_ca_topic_score_gemma":0.0007389474,"domain_scores_codex":[0.9990977,0.0002093179,0.00005515226,0.0001532662,0.0004010601,0.00008355825],"domain_scores_gemma":[0.9990909,0.0003020536,0.00006526515,0.0001947727,0.0003124531,0.0000345839],"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":[0.0002207037,0.0001351474,0.0003957608,0.0005645031,0.00006305755,0.0001667739,0.000219562,0.2087847,0.0693828,0.180207,0.0130189,0.526841],"study_design_scores_gemma":[0.00002706339,0.0002166775,0.0001812553,0.00007147874,0.00005006776,0.0004119842,0.0000538113,0.9067822,0.0218923,0.03582994,0.03444814,0.00003513658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001568052,0.0006355426,0.9917612,0.00009527726,0.00008917779,0.00009138961,0.00002971458,0.0003477703,0.005381883],"genre_scores_gemma":[0.2945403,0.00351579,0.6741264,0.0002630815,0.0002599673,0.0006022793,0.0003624722,0.000390212,0.02593952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005306705,"threshold_uncertainty_score":0.01775265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01623897801659311,"score_gpt":0.1874665419983527,"score_spread":0.1712275639817596,"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."}}