{"id":"W2626157601","doi":"10.1155/2017/8246050","title":"An Efficient Channel Access Scheme for Vehicular Ad Hoc Networks","year":2017,"lang":"en","type":"article","venue":"Mobile Information Systems","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Wireless ad hoc network; Computer network; Vehicular ad hoc network; Distributed coordination function; Channel (broadcasting); Throughput; Scheme (mathematics); Wireless; Mobile ad hoc network; IEEE 802.11; Telecommunications; Network packet","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":[0.001136695,0.0008538886,0.0009967695,0.001016658,0.001238447,0.001096293,0.001695246,0.0009301596,0.002370732],"category_scores_gemma":[0.002665357,0.0002486961,0.0004602796,0.001215403,0.0006151408,0.001064302,0.001253436,0.001184507,0.001208139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000777748,"about_ca_system_score_gemma":0.001071465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002083442,"about_ca_topic_score_gemma":0.002660328,"domain_scores_codex":[0.9985216,0.0004983878,0.0001070114,0.0001489786,0.0005585965,0.0001654209],"domain_scores_gemma":[0.9991052,0.0002267104,0.00008984338,0.0001459872,0.0003811512,0.00005114037],"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":[0.0005639953,0.0003265309,0.0008799792,0.0008749429,0.0001731686,0.0009048839,0.0004147848,0.2254844,0.05638434,0.1617246,0.03394939,0.5183191],"study_design_scores_gemma":[0.0001723769,0.0006943147,0.0005567986,0.0001266414,0.000115766,0.001067583,0.0000965385,0.8623127,0.01057346,0.02224128,0.1018692,0.0001732914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007396756,0.003812749,0.9786335,0.0002245639,0.0007230508,0.0006126231,0.0002021398,0.001926842,0.006467582],"genre_scores_gemma":[0.5841922,0.004347284,0.3916072,0.0004965041,0.0005896964,0.002166294,0.001139809,0.0001679983,0.01529306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002370732,"threshold_uncertainty_score":0.007930934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331039324082202,"score_gpt":0.2584766508714317,"score_spread":0.2451662576306096,"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."}}