{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009470835,0.0001061442,0.0001640277,0.0001086426,0.00004661658,0.000037087,0.0001382081,0.0001010448,0.00002124408],"category_scores_gemma":[0.00001007596,0.0001015249,0.00003857755,0.0001938036,0.00003711349,0.00008623132,0.00002209774,0.0001614822,0.00002097245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005704914,"about_ca_system_score_gemma":0.000005414227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006465476,"about_ca_topic_score_gemma":0.0000872513,"domain_scores_codex":[0.9991853,0.00006079725,0.0003049498,0.0000943557,0.0001268364,0.000227773],"domain_scores_gemma":[0.999534,0.0001023982,0.00001894603,0.000262697,0.00002154417,0.00006040744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004199789,0.0001073662,0.01913603,0.0003156927,0.00009873056,0.0001065134,0.0008585163,0.4050355,0.06967623,0.5026333,0.0001687077,0.001821488],"study_design_scores_gemma":[0.001945737,0.00005991083,0.02494683,0.00104986,0.00006815766,0.0004469218,0.007114106,0.931196,0.01878902,0.001789215,0.01117963,0.001414582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554411,0.00134762,0.01475805,0.000004204606,0.0002152651,0.0001415287,0.000001728254,0.0001567652,0.02793371],"genre_scores_gemma":[0.9991677,0.00001673635,0.0006705314,0.000007338398,0.00004223462,0.00000524465,0.000007046032,0.00001868674,0.0000645006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5261606,"threshold_uncertainty_score":0.4140064,"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."}}