{"id":"W4412610869","doi":"10.1109/access.2025.3591591","title":"Flight Test Results of an Adaptive RF Front-End for Multi-Band SDR in Avionics","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Avionics; Computer science; Front and back ends; Software-defined radio; Automatic test equipment; Test (biology); Front (military); Embedded system; Aeronautics; Telecommunications; Aerospace engineering; Reliability engineering; Operating system; Engineering","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":[0.0007888288,0.0004151349,0.0001847453,0.0002943902,0.0002075995,0.0002730229,0.0003719764,0.0004743837,0.0008750023],"category_scores_gemma":[0.000826722,0.00006959155,0.0002120691,0.0001197609,0.0002522793,0.0002798004,0.0002043192,0.0002803785,0.0002253796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000207077,"about_ca_system_score_gemma":0.0001196521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008425094,"about_ca_topic_score_gemma":0.001307287,"domain_scores_codex":[0.9997137,0.00008605971,0.00001736476,0.00003914852,0.00009828441,0.00004530334],"domain_scores_gemma":[0.9994417,0.0001845026,0.00004195934,0.00008738408,0.0001916948,0.00005278483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003400134,0.001525896,0.02289768,0.0003630465,0.0002298154,0.001227694,0.0006593415,0.09678409,0.764047,0.001412081,0.001487358,0.1059658],"study_design_scores_gemma":[0.0004206321,0.02542518,0.05095045,0.00004651683,0.0001482567,0.001188244,0.0003761675,0.2369538,0.6778082,0.0005273207,0.006074297,0.00008095837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986527,0.00008865749,0.01167184,0.00005111741,0.00002626543,0.00005289852,0.00009094761,0.0002616718,0.001229653],"genre_scores_gemma":[0.9944189,0.00003009095,0.0046965,0.00002779589,0.000003060616,0.00001063921,0.00009683067,0.0000115747,0.0007046348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008750023,"threshold_uncertainty_score":0.004171729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03476417311559667,"score_gpt":0.3160670441700071,"score_spread":0.2813028710544105,"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."}}