{"id":"W2079794173","doi":"10.1109/ieeegcc.2009.5734337","title":"Efficient data gathering and position dissemination protocols for heterogeneous vehicle ad hoc and sensor networks","year":2009,"lang":"en","type":"article","venue":"exhibition","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Dissemination; Computer science; Vehicular ad hoc network; Computer network; Wireless ad hoc network; Wireless sensor network; Relay; Global Positioning System; Synchronization (alternating current); Distributed computing; Network topology; Data aggregator; Protocol (science); Wireless; Telecommunications; Channel (broadcasting)","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":[0.002634989,0.000607382,0.0006795524,0.001271294,0.0009660112,0.001204927,0.00173496,0.0008191922,0.0009023869],"category_scores_gemma":[0.004138784,0.0003975408,0.0003801778,0.001365568,0.0006472903,0.003074832,0.001937544,0.0008287687,0.0003058197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006778567,"about_ca_system_score_gemma":0.001037157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001069388,"about_ca_topic_score_gemma":0.001457767,"domain_scores_codex":[0.9987746,0.0003366499,0.0001730904,0.0001348363,0.0005024009,0.00007834081],"domain_scores_gemma":[0.9984264,0.0005806519,0.000231564,0.0002679015,0.0004193535,0.00007411286],"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":[0.0004563664,0.0003058854,0.001364938,0.0006931502,0.0002105365,0.0005512898,0.0008356727,0.2918919,0.04692664,0.1606648,0.01207936,0.4840195],"study_design_scores_gemma":[0.0001518869,0.0004070429,0.0004157844,0.00005369934,0.0001137185,0.0003184888,0.0002423737,0.9054548,0.01803456,0.03463364,0.04010645,0.00006750582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008322179,0.001091834,0.9884508,0.0002350734,0.0001037025,0.0002268233,0.00004801916,0.0003372504,0.001184302],"genre_scores_gemma":[0.404544,0.002855885,0.5827867,0.0002600602,0.0002380782,0.001234305,0.000825625,0.00008663272,0.007168665],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002634989,"threshold_uncertainty_score":0.01393533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331237515325934,"score_gpt":0.2616515699167676,"score_spread":0.2483391947635083,"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."}}