{"id":"W4417282002","doi":"10.1109/pimrc62392.2025.11275175","title":"Transferable DRL for Robust Digital Predistortion Under Dynamic Transmission Conditions","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Science and Engineering Research Council","keywords":"Predistortion; Robustness (evolution); Reinforcement learning; Control theory (sociology); Transmission (telecommunications); Data transmission","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":[0.0001044595,0.0004674029,0.000418378,0.0002801634,0.0003557161,0.0002049611,0.0002371443,0.0003307221,0.0007269322],"category_scores_gemma":[0.0000189823,0.0005275586,0.0003255474,0.0004705212,0.0001007218,0.0009827451,0.00001212195,0.0003174156,0.00003920903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005727864,"about_ca_system_score_gemma":0.0001647998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005066343,"about_ca_topic_score_gemma":0.00001401043,"domain_scores_codex":[0.997833,0.0000221161,0.0007048387,0.0005889474,0.0001908003,0.0006603498],"domain_scores_gemma":[0.9989547,0.0002897253,0.0000344359,0.0004071973,0.0001225781,0.0001914077],"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":[0.0001575716,0.0002843856,0.00001581559,0.000993403,0.0003640467,0.000002096441,0.0003298283,0.9229358,0.01424323,0.02503428,0.006654021,0.02898555],"study_design_scores_gemma":[0.002864272,0.0002028902,0.0003175532,0.0005332064,0.0003728753,0.00000657193,0.0004431754,0.9029781,0.004889073,0.04285391,0.0436644,0.0008740339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005456993,0.001197495,0.9638807,0.0006759225,0.001322731,0.001641502,0.0005499835,0.0005674608,0.02961848],"genre_scores_gemma":[0.9417664,0.0002459858,0.01833765,0.0001088617,0.00004978057,0.000278783,0.0005303661,0.0001106931,0.03857144],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9455431,"threshold_uncertainty_score":0.9997176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130680296321307,"score_gpt":0.255985761883688,"score_spread":0.244678958920475,"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."}}