{"id":"W2904633271","doi":"10.1109/dasc.2018.8569880","title":"In-Flight Performance Analysis of a Wideband Radio Using SDR for Avionic Applications","year":2018,"lang":"en","type":"article","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Avionics; Integrated modular avionics; Computer science; Software-defined radio; Wideband; Software; Embedded system; Transmission (telecommunications); Bandwidth (computing); Real-time computing; Computer hardware; Engineering; Telecommunications; Electronic engineering; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004441292,0.0004882716,0.0003058192,0.0004212094,0.0002179862,0.0004171179,0.0003743439,0.0003787872,0.001417741],"category_scores_gemma":[0.0006909062,0.00007395435,0.0001995321,0.0003283087,0.0001764829,0.0003032517,0.000186756,0.0001945164,0.000483277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002938952,"about_ca_system_score_gemma":0.0001089823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009840619,"about_ca_topic_score_gemma":0.0006248096,"domain_scores_codex":[0.9995462,0.00008634607,0.00001849664,0.00006232401,0.0002136807,0.00007301434],"domain_scores_gemma":[0.9991738,0.0002896951,0.0001491597,0.00005809903,0.0002978297,0.0000314706],"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":[0.001949668,0.0003965198,0.01753331,0.0007939219,0.0002307149,0.0007670575,0.0006208797,0.06675128,0.817248,0.001464736,0.001458129,0.09078582],"study_design_scores_gemma":[0.00005921606,0.006914791,0.0338335,0.0000841564,0.0002817393,0.001148941,0.0004053504,0.3139209,0.6353011,0.0003074231,0.007673757,0.00006915694],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803493,0.0008872208,0.01387831,0.00008489135,0.00003103004,0.00002365008,0.0001368776,0.0002485942,0.00435995],"genre_scores_gemma":[0.9970568,0.0002089066,0.001633761,0.00002242448,0.000009370531,0.000007807123,0.0001016198,0.00002082058,0.0009385169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001417741,"threshold_uncertainty_score":0.004742742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01974235533354037,"score_gpt":0.2772594080497011,"score_spread":0.2575170527161608,"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."}}