{"id":"W3045668817","doi":"10.1109/icc40277.2020.9149331","title":"Optimized Carrier Sensing Thresholds for Dense mmWave Wireless Networks Coexistence","year":2020,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Throughput; Computer network; Node (physics); Channel (broadcasting); Interference (communication); Stochastic geometry; Wireless; Wireless network; Electronic engineering; Telecommunications; Engineering","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":[0.0006979453,0.0004237854,0.0003737878,0.0003962332,0.0003018072,0.0006893267,0.0004629179,0.0004842475,0.0003835531],"category_scores_gemma":[0.003345886,0.0002630351,0.0001641239,0.0002935469,0.0005786369,0.0008626505,0.0006327683,0.0003178853,0.0001033518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008869492,"about_ca_system_score_gemma":0.0007524187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001652945,"about_ca_topic_score_gemma":0.002148438,"domain_scores_codex":[0.9996986,0.00009163291,0.00001199515,0.00004691381,0.00009606655,0.00005470894],"domain_scores_gemma":[0.9991046,0.0005310519,0.000182602,0.0000526234,0.00009544054,0.00003376993],"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":[0.00004566427,0.00005640473,0.0007800175,0.00003406307,0.00001096421,0.00007166944,0.0000755728,0.9527369,0.01504747,0.01929686,0.0002886291,0.01155588],"study_design_scores_gemma":[0.000003888064,0.00002742416,0.000186347,0.000003536009,0.000003550475,0.00001378809,0.000018909,0.9941316,0.001718508,0.003726044,0.0001612892,0.000005047465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1828719,0.0003649455,0.8119842,0.0002060409,0.0000353953,0.00006266788,0.00003412794,0.0002062723,0.004234421],"genre_scores_gemma":[0.9755387,0.000094801,0.02391821,0.0000262508,0.000006493211,0.00002704527,0.00001007356,0.00001098409,0.0003675426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001652945,"threshold_uncertainty_score":0.006435275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04008712462106502,"score_gpt":0.2357713842908713,"score_spread":0.1956842596698063,"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."}}