{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009796252,0.0001490569,0.0001981625,0.00002446855,0.00006945454,0.00005381211,0.00007341392,0.000084216,0.00004707407],"category_scores_gemma":[0.0000236246,0.0001437175,0.00007117142,0.00009523324,0.00001722,0.00005891426,0.00002530787,0.0001199179,0.000006478841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002418718,"about_ca_system_score_gemma":0.00001010022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004346988,"about_ca_topic_score_gemma":0.000007369009,"domain_scores_codex":[0.9992437,0.00001229294,0.0002020335,0.0001937278,0.00009397559,0.0002542922],"domain_scores_gemma":[0.9995597,0.00005706812,0.00002168427,0.0001302234,0.00007492731,0.0001563845],"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":[0.00003736708,0.000001998028,0.000004877237,0.00004914513,0.00003656673,0.000004866334,0.0004211451,0.9722943,0.01920713,0.00006986318,0.001507668,0.006365036],"study_design_scores_gemma":[0.0005199483,0.00002194081,7.480263e-7,0.00001611185,0.000019666,0.000005244719,0.0001184317,0.9712911,0.02712183,0.00002633088,0.0006670168,0.000191681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03725529,0.0001190957,0.9594098,0.0002725233,0.000220747,0.0002772721,0.000006948834,0.000404468,0.00203387],"genre_scores_gemma":[0.9365224,0.00004597876,0.06187215,0.001203262,0.000188133,0.000008164418,0.00001538188,0.0000459628,0.00009861663],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8992671,"threshold_uncertainty_score":0.5860631,"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."}}