{"id":"W4414008967","doi":"10.1109/tcomm.2025.3606641","title":"Efficient STAR-RIS Mode for Energy Minimization in WPT-FL Networks With NOMA","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University; University of the Fraser Valley; Université Laval","funders":"","keywords":"Noma; Minification; Electronic engineering; Computer science; Energy (signal processing); Mode (computer interface); Electrical engineering; Physics; Engineering; Telecommunications; Telecommunications link","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":[0.00007469025,0.0001806348,0.0002024898,0.0004090694,0.0002846259,0.00004073018,0.0009363866,0.000166389,0.000008487041],"category_scores_gemma":[0.00001074073,0.0001888474,0.00006531643,0.0009606808,0.0001704754,0.00006287528,0.00001030371,0.0003745373,0.000003547917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002149268,"about_ca_system_score_gemma":0.00004137407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006876037,"about_ca_topic_score_gemma":0.001501496,"domain_scores_codex":[0.9990754,0.0000603398,0.0003571511,0.00017724,0.00008985282,0.0002400505],"domain_scores_gemma":[0.9971213,0.0006339331,0.00003790396,0.002065528,0.0001040861,0.00003726398],"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":[0.00002597629,0.0002428525,0.000008883148,0.00001443249,0.00004703659,9.863808e-8,0.00007658137,0.9669634,0.00009124252,0.00891446,0.0001442683,0.02347076],"study_design_scores_gemma":[0.000539618,0.00004322784,0.00009300768,0.00009823726,0.00002752765,6.023098e-7,0.0001868649,0.9921615,0.002961717,0.0003579524,0.003349002,0.0001807463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004281371,0.0006409452,0.9899067,0.001654211,0.0001113313,0.0003801807,0.0000404868,0.0007111755,0.002273588],"genre_scores_gemma":[0.9556637,0.001458604,0.04152099,0.00007012326,0.000003561616,0.001063263,0.00003130968,0.00003469688,0.0001537573],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9513823,"threshold_uncertainty_score":0.7700974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217439715830907,"score_gpt":0.2444708489308098,"score_spread":0.2322964517725008,"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."}}