{"id":"W2118140967","doi":"10.1109/glocom.2008.ecp.1033","title":"Distributed Multi-Interface Multi-Channel Random Access","year":2008,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Channel (broadcasting); Computer network; Interface (matter); Random access; Wireless ad hoc network; Node (physics); Throughput; Distributed computing; Channel allocation schemes; Wireless; Key (lock); Aggregate (composite); Algorithm; Engineering; Telecommunications","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":[0.001928933,0.0008013181,0.001256933,0.0005560777,0.0006184955,0.001514349,0.002341708,0.001104092,0.002133402],"category_scores_gemma":[0.005718902,0.0003183435,0.0005815166,0.0008347665,0.0009399443,0.001582594,0.001403612,0.001498035,0.0009363868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007575199,"about_ca_system_score_gemma":0.0008138698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000820588,"about_ca_topic_score_gemma":0.00114205,"domain_scores_codex":[0.9976684,0.001151058,0.00007570558,0.0003823877,0.0005030067,0.0002193394],"domain_scores_gemma":[0.9967914,0.00150128,0.0002959112,0.000807302,0.0004702394,0.0001339417],"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":[0.0006443747,0.0004124498,0.001333086,0.0001850146,0.0001476274,0.000282931,0.0001445218,0.5832697,0.01204896,0.1095748,0.009117997,0.2828385],"study_design_scores_gemma":[0.00006533434,0.00006459134,0.00006736592,0.000004188983,0.00001314209,0.00009218531,0.000007743745,0.9882123,0.001227443,0.008512782,0.001719198,0.00001375318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006226645,0.0002089901,0.9913902,0.0001010034,0.00006182225,0.00007428405,0.00002235239,0.0006966575,0.001217992],"genre_scores_gemma":[0.6774704,0.0003668931,0.3164368,0.00025201,0.0001822412,0.0004151869,0.0001870045,0.00008713103,0.004602369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002341708,"threshold_uncertainty_score":0.01020133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04931988487950456,"score_gpt":0.2946238679205997,"score_spread":0.2453039830410952,"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."}}