{"id":"W4381745456","doi":"10.1109/radarconf2351548.2023.10149605","title":"RFSoC-based design and implementation of a Direct RF FMCW radar altimeter","year":2023,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Radar altimeter; Computer science; Sampling (signal processing); Radar; Altimeter; Remote sensing; Continuous-wave radar; Radio frequency; Electronic engineering; Radar imaging; Engineering; Telecommunications; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001162073,0.00005628304,0.00007372192,0.00008698226,0.0000165225,0.000008934594,0.00002330055,0.00002285235,0.0001324248],"category_scores_gemma":[0.000004284778,0.00005166605,0.00001652024,0.0001788163,0.000008894497,0.00005799063,0.00000472686,0.0000175828,0.00001365836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009191253,"about_ca_system_score_gemma":0.000007164302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001739337,"about_ca_topic_score_gemma":0.000003235407,"domain_scores_codex":[0.9996653,0.00001411584,0.0001049367,0.0000644336,0.00006000416,0.00009127396],"domain_scores_gemma":[0.9998422,0.00005444458,0.00001221972,0.00005420992,0.00001490947,0.00002205216],"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":[0.0000802656,0.00004038068,0.005416901,0.0004279691,0.0002321631,0.00001456085,0.001869558,0.4200316,0.4445521,0.0006252526,0.05806589,0.06864337],"study_design_scores_gemma":[0.000417549,0.00004463221,0.002590071,0.000008195178,0.00001421388,3.361058e-7,0.0001321175,0.9005931,0.0958878,0.00003844357,0.0001826513,0.00009090993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02372741,0.00005240513,0.9745337,0.00004768633,0.00005038741,0.0002072171,0.000004733823,0.0003592087,0.001017224],"genre_scores_gemma":[0.9562105,0.00005762402,0.04343816,0.00003581757,0.00001004096,0.00001248741,0.00002274363,0.00001795852,0.0001946506],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9324831,"threshold_uncertainty_score":0.2106881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606413409429064,"score_gpt":0.2417076428527222,"score_spread":0.2256435087584315,"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."}}