{"id":"W2042109723","doi":"10.1109/wivec.2014.6953220","title":"Demonstration of multi-channel medium access control protocol in vehicular power line communication (VPLC) using OMNeT&amp;#x002B;&amp;#x002B;","year":2014,"lang":"en","type":"article","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of British Columbia","funders":"","keywords":"Computer science; Computer network; Channel (broadcasting); Protocol (science); Power-line communication; Node (physics); Multiplexing; Access method; Key (lock); Channel access method; Access control; Media access control; Random access; Hidden node problem; Power (physics); Wireless; Telecommunications; Wireless network; Engineering; Computer security","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":[0.000530304,0.0001856282,0.0001182753,0.0002093361,0.0002185719,0.0002722644,0.0005958874,0.0004614549,0.001590721],"category_scores_gemma":[0.0008383971,0.00008453079,0.0001100517,0.0001502857,0.0003125354,0.0003794598,0.0003082182,0.0005166225,0.0002836109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001416209,"about_ca_system_score_gemma":0.0003059267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008406398,"about_ca_topic_score_gemma":0.0007856865,"domain_scores_codex":[0.9996698,0.0001069868,0.00001247304,0.00002326509,0.0001426684,0.00004475807],"domain_scores_gemma":[0.999541,0.0002037625,0.00004258477,0.00005801097,0.0001025653,0.00005208268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001177956,0.00141272,0.005059724,0.0006418672,0.00007248363,0.004616799,0.0007765105,0.0665433,0.6814646,0.04730147,0.01597441,0.1749582],"study_design_scores_gemma":[0.0002493544,0.00219142,0.002478012,0.00004394561,0.00002170786,0.001528586,0.000155683,0.459175,0.492602,0.002583462,0.03891692,0.00005389482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4546162,0.0002051355,0.5014222,0.001118649,0.0004307199,0.0003833219,0.000302761,0.005097951,0.03642305],"genre_scores_gemma":[0.89425,0.0001205511,0.0974697,0.0001218552,0.00001405241,0.0001876944,0.0001832919,0.00009470922,0.007558197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001590721,"threshold_uncertainty_score":0.005321503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05851524230639925,"score_gpt":0.3332586953114127,"score_spread":0.2747434530050134,"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."}}