{"id":"W3134701519","doi":"10.1109/jsyst.2021.3053550","title":"Achieving 5G NR mmWave Indoor Coverage Under Integrated Access Backhaul","year":2021,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Backhaul (telecommunications); Subcarrier; Computer science; Computer network; Channel (broadcasting); Electronic engineering; Base station; Engineering; Orthogonal frequency-division multiplexing","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":[0.000448851,0.0002216516,0.0003280691,0.0001674794,0.0001685521,0.0008392386,0.0002249624,0.0001343619,0.0002414848],"category_scores_gemma":[0.00004367695,0.0002003654,0.0001272969,0.0002187402,0.0000128728,0.0004498189,0.00002498615,0.0006868478,0.00008370422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002268091,"about_ca_system_score_gemma":0.0001206484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001187318,"about_ca_topic_score_gemma":0.00001305255,"domain_scores_codex":[0.9983758,0.0001581591,0.0006041016,0.0001846277,0.0003291704,0.0003481381],"domain_scores_gemma":[0.9991125,0.00005415719,0.0001208454,0.0002123561,0.0002924916,0.0002076502],"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":[0.000009158697,0.00002295124,0.0004419805,0.0001717826,0.0002360822,0.0001732764,0.0003049569,0.7884996,0.2038831,0.00003058389,0.002703178,0.00352339],"study_design_scores_gemma":[0.004126085,0.0001114102,0.001408721,0.00309054,0.0002184973,0.01011791,0.001727696,0.6959907,0.2558336,0.0004703626,0.02484522,0.002059276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3742569,0.001360619,0.6170955,0.0000521629,0.003827264,0.00009990303,0.00001804496,0.0001161405,0.003173463],"genre_scores_gemma":[0.9978952,0.000297239,0.0002606186,0.000131683,0.000731429,0.000006710225,0.00001065354,0.00006051977,0.0006059827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6236382,"threshold_uncertainty_score":0.8170664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03947265644349193,"score_gpt":0.2626067823520702,"score_spread":0.2231341259085783,"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."}}