{"id":"W4321021437","doi":"10.1109/tbc.2023.3241767","title":"Implementation of Wireless Backhaul and Inter-Tower Communications With MIMO in ATSC 3.0","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"Eusko Jaurlaritza","keywords":"MIMO; Multiplexing; Backhaul (telecommunications); Computer science; Spatial multiplexing; Broadcasting (networking); Wireless; Backward compatibility; Electronic engineering; Multi-user MIMO; MIMO-OFDM; Computer network; 3G MIMO; Telecommunications; Engineering; Channel (broadcasting)","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":[0.0003727259,0.0006842212,0.0002482834,0.0003476352,0.0004533719,0.000676051,0.0006407339,0.000440693,0.002114596],"category_scores_gemma":[0.0003474172,0.0001685193,0.0003737505,0.0002609713,0.0002905517,0.0004738071,0.0005478627,0.0004896979,0.0009294151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000723184,"about_ca_system_score_gemma":0.0006577565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002217277,"about_ca_topic_score_gemma":0.003101088,"domain_scores_codex":[0.9994197,0.0001065405,0.00001926284,0.00007789813,0.0002284622,0.0001480842],"domain_scores_gemma":[0.9996738,0.00003532083,0.00004011186,0.00006308014,0.0001540372,0.00003351426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000419968,0.0002483205,0.005546421,0.0002784904,0.00009477109,0.001182019,0.0003059555,0.0462336,0.754537,0.02580462,0.006689182,0.1586596],"study_design_scores_gemma":[0.0001449171,0.001814724,0.008867034,0.00009011652,0.0001236113,0.002148384,0.000264953,0.4431596,0.4903922,0.004899807,0.04794881,0.0001458305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2902306,0.0009154995,0.6334587,0.0005149537,0.0004854221,0.0002848709,0.0003809137,0.003595467,0.07013366],"genre_scores_gemma":[0.9048152,0.0002033156,0.08941744,0.000247732,0.00005615725,0.00007561115,0.0002065619,0.00003810589,0.004939823],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002217277,"threshold_uncertainty_score":0.007073998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02622778024153401,"score_gpt":0.2763508008982192,"score_spread":0.2501230206566852,"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."}}