{"id":"W4313316768","doi":"10.3390/app13010493","title":"NextGen ADS-B Software-Defined Reception with Enhanced Techniques","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Automatic dependent surveillance-broadcast; Computer science; Software-defined radio; GNSS applications; Avionics; Key (lock); Real-time computing; Software; Air traffic control; MATLAB; Embedded system; Engineering; Electronic engineering; Telecommunications; Global Positioning System; Computer security; Aerospace engineering; Operating system","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":[0.0006808865,0.000543087,0.0003037839,0.0005282895,0.0001964572,0.0006451473,0.0005832851,0.0004425356,0.004262005],"category_scores_gemma":[0.0006939251,0.0001663906,0.0002976895,0.0003252659,0.0002268516,0.0005798943,0.0004574738,0.000667104,0.002430588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003170327,"about_ca_system_score_gemma":0.0003465913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004237559,"about_ca_topic_score_gemma":0.0004767069,"domain_scores_codex":[0.9991608,0.0002065389,0.00002847184,0.00008836923,0.0004472279,0.00006860754],"domain_scores_gemma":[0.9994993,0.00008318324,0.00005765106,0.0001038156,0.0002356259,0.00002027579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001519022,0.000328924,0.003910917,0.0005618687,0.0001230928,0.0005164043,0.0005020211,0.02513818,0.5114105,0.02195564,0.009386069,0.4246474],"study_design_scores_gemma":[0.0002978243,0.002567741,0.004294451,0.00009784697,0.0001382172,0.003086003,0.0001373851,0.3704084,0.4909411,0.003666058,0.1242093,0.0001556995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08758189,0.000859289,0.8781934,0.0003355237,0.0002281625,0.0001951669,0.0001363823,0.00494865,0.02752148],"genre_scores_gemma":[0.6695248,0.0006249105,0.3031679,0.0004538949,0.0001704391,0.000167586,0.0004875997,0.0004233217,0.02497946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004262005,"threshold_uncertainty_score":0.01425779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007667607919547427,"score_gpt":0.189766802514828,"score_spread":0.1820991945952806,"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."}}