{"id":"W4412984960","doi":"10.1109/lwc.2025.3596094","title":"Frequency-Selective Modeling and Analysis for OFDM-Integrated Wideband Pinching-Antenna Systems","year":2025,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Central University Basic Research Fund of China","keywords":"Orthogonal frequency-division multiplexing; Wideband; Computer science; Electronic engineering; Antenna (radio); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002351649,0.0002156781,0.0004468648,0.0006408723,0.0003424847,0.0001346196,0.000573914,0.0000867507,0.000001318145],"category_scores_gemma":[0.00002365797,0.0002143924,0.0001934738,0.001415082,0.000106883,0.0001548575,0.0000384718,0.0002586104,0.000002049183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001282438,"about_ca_system_score_gemma":0.00002554579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000625745,"about_ca_topic_score_gemma":0.000290168,"domain_scores_codex":[0.9988967,0.0001045797,0.0004101629,0.0002391322,0.00009285647,0.0002565423],"domain_scores_gemma":[0.9985199,0.0002466477,0.0000578741,0.0009647711,0.000154932,0.00005588678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002267004,0.00008917045,0.01077304,0.0002474113,0.008662429,0.000002493902,0.001062741,0.2893791,0.6817654,0.005259866,0.001077044,0.001658547],"study_design_scores_gemma":[0.0002224971,0.000004727102,0.0001430849,0.00009936423,0.000804845,0.000001040623,0.0002753356,0.9978428,0.0002029789,0.0001289222,0.00006375204,0.0002106615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1053272,0.001898284,0.8909848,0.001009381,0.00009266915,0.0002565939,0.00004545852,0.0002331532,0.0001525161],"genre_scores_gemma":[0.9942123,0.0006425145,0.004464284,0.0002734639,0.00001722206,0.0001850166,0.0001088788,0.00002689784,0.00006938899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8888851,"threshold_uncertainty_score":0.8742667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01974521319707533,"score_gpt":0.2455417440746446,"score_spread":0.2257965308775693,"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."}}