{"id":"W1862011269","doi":"10.1016/j.vehcom.2015.07.002","title":"Dynamic spatial partition density-based emergency message dissemination in VANETs","year":2015,"lang":"en","type":"article","venue":"Vehicular Communications","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Broadcasting (networking); Computer network; Reliability (semiconductor); Wireless ad hoc network; Vehicular ad hoc network; Scheme (mathematics); Dissemination; Partition (number theory); Performance metric; Metric (unit); Telecommunications; Wireless","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":[0.001126635,0.0004925951,0.0009719974,0.001173212,0.0005927944,0.0008014839,0.001393983,0.0005006789,0.0005327053],"category_scores_gemma":[0.004505644,0.0004018333,0.0002960039,0.001133964,0.0006552637,0.001331827,0.001657839,0.0004546213,0.0001331558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008858631,"about_ca_system_score_gemma":0.0007597922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003764754,"about_ca_topic_score_gemma":0.004725213,"domain_scores_codex":[0.9991559,0.000261577,0.00004156799,0.0001303038,0.0002794124,0.0001311864],"domain_scores_gemma":[0.9981499,0.0009893908,0.0001866308,0.0001453821,0.0004394657,0.00008941419],"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":[0.0004497214,0.00009264192,0.001956822,0.0001216223,0.00006320252,0.0001096616,0.0003049649,0.9061404,0.01005936,0.008643643,0.001697556,0.07036049],"study_design_scores_gemma":[0.00001342788,0.00006992967,0.0004712636,0.000005261965,0.00001791364,0.00004967987,0.0001056833,0.9951087,0.001730973,0.001725931,0.0006906253,0.00001065849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1400394,0.00148538,0.8525442,0.0004090661,0.0001773002,0.0001444352,0.0001414229,0.0006150916,0.004443558],"genre_scores_gemma":[0.9756019,0.000278426,0.02297109,0.0000384499,0.00003084819,0.00003773905,0.00008152343,0.00001903326,0.0009411534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003764754,"threshold_uncertainty_score":0.007485688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0171107694598028,"score_gpt":0.2650311244567053,"score_spread":0.2479203549969025,"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."}}