{"id":"W4406029507","doi":"10.1002/9781394228331.ch6","title":"Energy‐Efficient Uplink Transmission in RIS‐Aided M‐MIMO IoT Systems*","year":2025,"lang":"en","type":"other","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Telecommunications link; Base station; Computer science; Transmitter power output; MIMO; Efficient energy use; Optimization problem; Transmission (telecommunications); Channel (broadcasting); Wireless; Telecommunications; Engineering; Electrical engineering; Algorithm","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000649137,0.0002938563,0.0003963688,0.0007044199,0.00001996602,0.00001621844,0.000597926,0.0005605754,0.0003855899],"category_scores_gemma":[0.00001405087,0.0002767405,0.00005652709,0.0003946308,0.00003729871,0.000007343499,0.00008503813,0.0003582444,0.0000386774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001663176,"about_ca_system_score_gemma":0.00003013097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003164338,"about_ca_topic_score_gemma":0.00006079895,"domain_scores_codex":[0.998998,0.00002456808,0.0003372052,0.0002406701,0.0001204899,0.000279011],"domain_scores_gemma":[0.9989155,0.00006142454,0.00005510678,0.0009140769,0.0000154694,0.00003840647],"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":[0.00000348304,0.00005278624,0.00001023531,0.0006759173,0.00007215072,0.000007562194,0.00002754077,0.7016804,0.0004173738,0.02439428,0.09503173,0.1776265],"study_design_scores_gemma":[0.0002309578,0.000005286635,0.000004180258,0.001058197,0.000006757992,6.925375e-7,0.00005945204,0.3503997,0.001651213,0.0001137598,0.6461306,0.0003391679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000007567604,0.01397564,0.4938729,0.00005273751,0.000192769,0.0001709871,0.000005689267,0.003237947,0.4884838],"genre_scores_gemma":[0.09690888,0.007998659,0.02241332,0.00003164716,0.00004508304,0.0002757439,0.00004711084,0.0006740232,0.8716055],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5510989,"threshold_uncertainty_score":0.9999685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006998172651869745,"score_gpt":0.2186276664446084,"score_spread":0.2116294937927387,"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."}}