{"id":"W2068011483","doi":"10.1109/wimob.2011.6085384","title":"BROADTRIP: Broadcast for transit in platoons","year":2011,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Broadcasting (networking); Computer network; Efficient energy use; Protocol (science); Atomic broadcast; Coding (social sciences); Transit (satellite); Linear network coding; Vehicular ad hoc network; Wireless; Telecommunications; Public transport; Wireless ad hoc network; Engineering; Transport engineering","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":[0.0008478719,0.0005024098,0.0005393639,0.0008487821,0.0009022304,0.0008624446,0.001424938,0.0007672518,0.00492986],"category_scores_gemma":[0.002140039,0.0002756166,0.0003282299,0.0007262619,0.0006742265,0.001426858,0.002278644,0.0008593444,0.001381759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005833012,"about_ca_system_score_gemma":0.001156309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002941574,"about_ca_topic_score_gemma":0.003915435,"domain_scores_codex":[0.9995561,0.00009873428,0.0000272411,0.00006076865,0.000159498,0.00009754928],"domain_scores_gemma":[0.9992024,0.0002383285,0.0000877856,0.0002144761,0.0001485457,0.0001084381],"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":[0.001601251,0.0002797877,0.002433373,0.0007750014,0.0001681402,0.0009044566,0.001119696,0.1807884,0.05789284,0.08415921,0.0508041,0.6190739],"study_design_scores_gemma":[0.000402991,0.0006926202,0.0008282759,0.00008349781,0.00009355618,0.0007562288,0.0003656911,0.8053297,0.03375775,0.03451516,0.123093,0.00008145956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05731931,0.001164872,0.8974894,0.0006776236,0.0004229539,0.0008179315,0.0008826683,0.0186123,0.022613],"genre_scores_gemma":[0.6773666,0.0009241367,0.3014575,0.0003414317,0.0001782653,0.0006525844,0.002483122,0.000890917,0.01570533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00492986,"threshold_uncertainty_score":0.01649207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02958532000598598,"score_gpt":0.1808309694774707,"score_spread":0.1512456494714847,"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."}}