{"id":"W7116954435","doi":"10.1109/twc.2025.3644918","title":"Physically-Consistent Modeling and Optimization of Non-Local RIS-Assisted Multi-User MISO Systems","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Benchmark (surveying); Wireless; Channel (broadcasting); Parametric statistics; Optimization problem; Feature (linguistics); Coupling (piping); Parametric model","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":[0.0003567075,0.0006874144,0.0005525071,0.0001818849,0.0002480134,0.0008097883,0.0006228613,0.0008937611,0.001265151],"category_scores_gemma":[0.0006184007,0.0003656631,0.000500702,0.00024496,0.0007396117,0.0004645335,0.0006499744,0.0004686355,0.0003043828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006479048,"about_ca_system_score_gemma":0.0005541698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001525248,"about_ca_topic_score_gemma":0.0017179,"domain_scores_codex":[0.9997843,0.00006154829,0.000004765015,0.00003100112,0.00008303826,0.00003530473],"domain_scores_gemma":[0.9997639,0.0001107779,0.00004451062,0.00002942949,0.00003312897,0.00001835519],"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":[0.00001338787,0.000009379346,0.0001804761,0.00001554276,0.000007224954,0.00002972104,0.00001553882,0.9923363,0.002304652,0.003362995,0.00009877145,0.00162601],"study_design_scores_gemma":[0.000002458081,0.000009749224,0.00004659103,0.000001269172,0.000001576619,0.000004402809,0.000005502652,0.9988987,0.0003668088,0.0005368933,0.0001237787,0.000002215636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1699659,0.0004278397,0.7996458,0.0004018143,0.00004206019,0.00008145133,0.0001519985,0.0003268313,0.02895633],"genre_scores_gemma":[0.9601639,0.000205487,0.03436262,0.00005885006,0.00001414543,0.0001255631,0.00006176026,0.00007640287,0.004931178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001525248,"threshold_uncertainty_score":0.004700899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02827219097529286,"score_gpt":0.2770783706149205,"score_spread":0.2488061796396276,"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."}}