{"id":"W1894608146","doi":"10.1109/dasc.2015.7311380","title":"Spread spectrum design for aeronautical communication system with radio frequency interference","year":2015,"lang":"en","type":"article","venue":"2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC)","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Federation for the Humanities and Social Sciences","keywords":"Direct-sequence spread spectrum; Spread spectrum; Frequency-hopping spread spectrum; Rician fading; Avionics; Communications system; Fading; Computer network; Computer science; Jamming; Engineering; Telecommunications; Electronic engineering; Channel (broadcasting)","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":[0.0003405477,0.0004686063,0.0002566051,0.000349941,0.000364552,0.0005610168,0.0004224286,0.0004459114,0.001543194],"category_scores_gemma":[0.0007070639,0.0001546923,0.0002676851,0.0003733905,0.0003001318,0.000412754,0.0003112974,0.0003635767,0.0004855007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004726348,"about_ca_system_score_gemma":0.0004939187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001346551,"about_ca_topic_score_gemma":0.001487637,"domain_scores_codex":[0.9996046,0.0001176677,0.00001379495,0.00004094403,0.0001945401,0.00002830754],"domain_scores_gemma":[0.999711,0.00007304219,0.00004277192,0.00002365174,0.0001413328,0.000008184671],"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":[0.00017461,0.00007284469,0.001534702,0.000306894,0.0000934589,0.000388012,0.0002511722,0.7083194,0.08181356,0.05891857,0.002515784,0.1456111],"study_design_scores_gemma":[0.00001506217,0.0001853609,0.0003272231,0.00003932848,0.0000285244,0.0001859867,0.00003960689,0.9787287,0.006971372,0.007733908,0.005730851,0.00001408565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01812406,0.001078489,0.9738099,0.0001080361,0.00006054288,0.00005141438,0.00002725324,0.0001579988,0.00658223],"genre_scores_gemma":[0.8621419,0.001769362,0.1311573,0.0001139757,0.0000858539,0.0001714261,0.0000811383,0.00005563243,0.004423474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001543194,"threshold_uncertainty_score":0.005162477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05733661898257735,"score_gpt":0.2514657605223918,"score_spread":0.1941291415398145,"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."}}