{"id":"W2046372691","doi":"10.1109/giis.2014.6934257","title":"A quality of service model for IEEE 802.11p communication protocol in a smart city","year":2014,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"IEEE 802.11p; Computer network; Computer science; Quality of service; Network packet; Smart grid; Latency (audio); IEEE 802; Low latency (capital markets); Wireless; Base station; Smart city; Throughput; Vehicular ad hoc network; Embedded system; Telecommunications; Wireless ad hoc network; Engineering; Internet of Things","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":[0.002205989,0.001148673,0.000950634,0.0009199993,0.001163161,0.002469921,0.002732162,0.002966182,0.004470226],"category_scores_gemma":[0.004647264,0.0006327544,0.0008526187,0.001592073,0.001635753,0.003644778,0.001222844,0.002581402,0.001636007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002377648,"about_ca_system_score_gemma":0.001935744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01078498,"about_ca_topic_score_gemma":0.006086524,"domain_scores_codex":[0.9977673,0.0008592661,0.000113252,0.0003109033,0.0006342699,0.0003149016],"domain_scores_gemma":[0.9979885,0.0009881376,0.0002379005,0.0001772089,0.0005407688,0.00006758228],"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":[0.00009064194,0.00009514733,0.0007218289,0.00009115391,0.00002825508,0.0003312972,0.0002089537,0.7220504,0.001734486,0.2585548,0.003138291,0.01295464],"study_design_scores_gemma":[0.00001949311,0.00004371689,0.000105772,0.00001218962,0.00001212264,0.00004866175,0.00002413362,0.9795461,0.0001498939,0.01777387,0.002249586,0.00001447351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.016689,0.0008929662,0.9652161,0.001506203,0.0003307402,0.0002168356,0.0003431357,0.0005225721,0.01428251],"genre_scores_gemma":[0.8318696,0.002748399,0.1386976,0.0006527746,0.0004796226,0.001622885,0.0006778655,0.000201855,0.02304942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01078498,"threshold_uncertainty_score":0.02144444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04751445139099004,"score_gpt":0.3085219873777896,"score_spread":0.2610075359867996,"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."}}