{"id":"W4417281819","doi":"10.1109/pimrc62392.2025.11275438","title":"Hybrid Neural/Traditional OFDM Receiver with Learnable Decider","year":2025,"lang":"","type":"article","venue":"","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Discriminator; Orthogonal frequency-division multiplexing; Generalization; Channel (broadcasting); Block (permutation group theory); Artificial neural network; Wireless; ENCODE","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":[0.0009410219,0.0006241588,0.0006275262,0.0003034018,0.0003096951,0.0006558435,0.001731807,0.001024676,0.001595301],"category_scores_gemma":[0.001609008,0.0003036067,0.0003354929,0.0002875203,0.0006328962,0.001134511,0.001247119,0.00128481,0.0007476613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005342094,"about_ca_system_score_gemma":0.0005658015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0013161,"about_ca_topic_score_gemma":0.002881773,"domain_scores_codex":[0.999437,0.0001083371,0.00002987712,0.0001402403,0.0002044843,0.00008001649],"domain_scores_gemma":[0.9994733,0.0001918252,0.00006536402,0.00007097356,0.0001668876,0.00003165238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000663139,0.0004411949,0.003958012,0.000236373,0.0002166488,0.0003741118,0.0002427238,0.3288096,0.09116378,0.03310983,0.003699192,0.5370854],"study_design_scores_gemma":[0.00002008391,0.0001000318,0.0001659214,0.00000855036,0.00002183009,0.00008114205,0.000007374028,0.9835116,0.01257252,0.002300669,0.001198407,0.00001200987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03363366,0.0004391202,0.9603441,0.000269139,0.00008175976,0.00003807128,0.00004390071,0.0008759964,0.004274275],"genre_scores_gemma":[0.7309039,0.0003294447,0.2550897,0.0006762217,0.0001816145,0.00008617261,0.0001273348,0.00007279396,0.0125329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001731807,"threshold_uncertainty_score":0.005336761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03607662507883511,"score_gpt":0.2407329428603831,"score_spread":0.204656317781548,"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."}}