{"id":"W4323645976","doi":"10.1109/fnwf55208.2022.00138","title":"INGR Roadmap Massive MIMO Chapter","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"MIMO; Computer science; Multi-user MIMO; 3G MIMO; Electronic engineering; Wireless; Spectral efficiency; Throughput; Transmitter; Computer network; Channel (broadcasting); 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002666392,0.00005776228,0.00005831613,0.0000661239,0.00008705447,0.000005720004,0.0003031996,0.00001739189,0.001011149],"category_scores_gemma":[0.0000088748,0.00006163523,0.00001856657,0.00009831173,0.00002057208,0.00006150629,0.0002669228,0.0001819189,0.00005076549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005050693,"about_ca_system_score_gemma":0.000001770168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003202014,"about_ca_topic_score_gemma":0.000003046419,"domain_scores_codex":[0.9996784,0.000005326183,0.00008168646,0.00006469957,0.00007158433,0.0000982694],"domain_scores_gemma":[0.9995787,0.00002041686,0.00001232459,0.0003677845,0.000008305214,0.00001248303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002944536,0.0000183364,0.0002723797,0.00001044846,0.0000310758,0.000006681301,0.0002957758,0.65028,0.01465751,0.214201,0.003177942,0.1170459],"study_design_scores_gemma":[0.0004452076,0.00007373533,0.0009874776,0.000007402291,0.000005036582,0.00001523757,0.003472764,0.1571181,0.0872265,0.01980221,0.7301838,0.0006626018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1997612,0.004045522,0.3737778,0.005754839,0.0008326604,0.0006583515,0.0000324398,0.01946333,0.3956738],"genre_scores_gemma":[0.9924479,0.00008220017,0.006711744,0.00006834047,0.000004636226,0.00007987434,0.000003422252,0.0000167886,0.000585169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7926866,"threshold_uncertainty_score":0.9999021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210303823072367,"score_gpt":0.2091452497738347,"score_spread":0.197042211543111,"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."}}