{"id":"W2807119136","doi":"10.1109/twc.2018.2840985","title":"Mean Delay Analysis of MIMO-ZFBF Multiplexing in Random Networks Under LOS/NLOS Path-Loss Model","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Non-line-of-sight propagation; Path loss; MIMO; Computer science; Multiplexing; Telecommunications; Computer network; Wireless; Beamforming","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000422859,0.0002920206,0.0006285212,0.0007913916,0.000343166,0.00002921067,0.001416099,0.0002009199,0.0000513461],"category_scores_gemma":[0.000005878627,0.0003347807,0.0002988999,0.002327087,0.0003855586,0.0002514399,0.00001834582,0.000696474,0.00001795515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002812405,"about_ca_system_score_gemma":0.00005957801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002373349,"about_ca_topic_score_gemma":0.01000906,"domain_scores_codex":[0.9978602,0.0002879977,0.0009698912,0.0002769429,0.000256256,0.0003487136],"domain_scores_gemma":[0.9948734,0.0008073361,0.0001687659,0.003810179,0.0002289059,0.0001114039],"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":[0.00004167563,0.0002192711,0.00006752126,0.00001496238,0.0005667389,3.225502e-7,0.001561406,0.9923627,0.001619163,0.0009460182,0.000009285568,0.002590934],"study_design_scores_gemma":[0.001096001,0.00001837033,0.0001374209,0.0001173494,0.0002678899,0.000002379357,0.0003475327,0.9953534,0.002096625,0.00009861077,0.0001693507,0.0002950855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05231861,0.0004648789,0.9446726,0.0000856345,0.0001437273,0.0004509819,0.000151628,0.0002811557,0.001430728],"genre_scores_gemma":[0.9889984,0.001433381,0.009005141,0.00004511336,0.00001303572,0.0003100762,0.0000550473,0.00007109917,0.00006875372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9366797,"threshold_uncertainty_score":0.9999104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03145707476077352,"score_gpt":0.2827865095640799,"score_spread":0.2513294348033063,"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."}}