{"id":"W2027025823","doi":"10.1145/1577769.1577773","title":"Message broadcast using optical orthogonal codes in vehicular communication systems","year":2007,"lang":"en","type":"article","venue":"","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Atomic broadcast; Multimedia Broadcast Multicast Service; Broadcast radiation; Broadcast communication network; Communications system; Vehicular communication systems; Computer network; Broadcasting (networking); Vehicular ad hoc network; Telecommunications; Wireless; Wireless ad hoc network","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":[0.001058389,0.0002945808,0.0004241578,0.0006182445,0.0005062495,0.0006542908,0.0004873726,0.0006909592,0.0005368154],"category_scores_gemma":[0.00288064,0.0001944722,0.0002189565,0.0006919915,0.0007782785,0.0007441633,0.0005846546,0.0004106355,0.0001375432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008107217,"about_ca_system_score_gemma":0.0007706915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00327225,"about_ca_topic_score_gemma":0.002535707,"domain_scores_codex":[0.9990755,0.0003523429,0.00002176556,0.00005857643,0.0003776418,0.0001140542],"domain_scores_gemma":[0.998647,0.000785416,0.0001986793,0.0001216959,0.0002191385,0.00002801842],"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":[0.0006740207,0.00009059916,0.001920237,0.0003153192,0.00006367824,0.0003900769,0.0005052888,0.5583853,0.05967073,0.2320437,0.002054437,0.1438865],"study_design_scores_gemma":[0.00007339508,0.000305304,0.0005317394,0.0000320126,0.00004616167,0.0002699038,0.0001010886,0.9387375,0.01981467,0.03485152,0.005177236,0.00005950237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1698852,0.002050024,0.8167096,0.0004548693,0.0001171718,0.00008682061,0.00004993354,0.0002768497,0.01036945],"genre_scores_gemma":[0.9091269,0.001074445,0.08665146,0.00007218982,0.00009234848,0.00006774405,0.00004246379,0.0000192498,0.002853221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00327225,"threshold_uncertainty_score":0.006506383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414708287513113,"score_gpt":0.2328636352915187,"score_spread":0.2187165524163875,"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."}}