{"id":"W2121308151","doi":"10.1109/glocom.2010.5683612","title":"Performance Analysis of Broadcast Messages in VANETs Safety Applications","year":2010,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Broadcasting (networking); Vehicular ad hoc network; Computer network; Throughput; Network packet; IEEE 802.11p; Wireless ad hoc network; Collision; Channel (broadcasting); Scheme (mathematics); Wireless; Telecommunications; Computer security","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":[0.001420364,0.0005088494,0.0005342555,0.0011712,0.000422931,0.000940765,0.0004790294,0.0005740101,0.001100137],"category_scores_gemma":[0.00700892,0.0002021903,0.0002200262,0.0009227277,0.0004859352,0.000555197,0.0004875856,0.0003766585,0.0003058133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590825,"about_ca_system_score_gemma":0.0007762272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004924814,"about_ca_topic_score_gemma":0.002115722,"domain_scores_codex":[0.9985176,0.0004300203,0.00004789705,0.0001038757,0.0006471205,0.0002536764],"domain_scores_gemma":[0.9960575,0.002557651,0.0003608251,0.0001460663,0.0008110243,0.00006689841],"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":[0.0003723463,0.00005092825,0.001993206,0.0001048144,0.00004409226,0.0001223447,0.0001084413,0.9546208,0.01212353,0.009942415,0.0006286317,0.01988853],"study_design_scores_gemma":[0.000006873806,0.0001349142,0.0007396398,0.000009439153,0.00001793117,0.00006439145,0.00004781343,0.9928901,0.004274302,0.001328876,0.0004762528,0.000009442971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6898083,0.00311321,0.2819487,0.0006097225,0.0001103794,0.0001427078,0.0003113961,0.0008325194,0.02312308],"genre_scores_gemma":[0.9945651,0.00032654,0.003936297,0.00001828998,0.00001604245,0.00002467616,0.000076516,0.00002845387,0.001007977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004924814,"threshold_uncertainty_score":0.01154226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003074301444987305,"score_gpt":0.1948085440902494,"score_spread":0.1917342426452621,"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."}}