{"id":"W4383899459","doi":"10.1109/taes.2023.3293782","title":"An Unassisted Super-Resolution Satellite Navigation Receiver Using GPS L5 Signals","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Aerospace and Electronic Systems","topic":"GNSS positioning and interference","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canada Research Chairs","keywords":"Computer science; GNSS applications; Global Positioning System; Multipath propagation; GLONASS; GPS signals; SIGNAL (programming language); Baseband; Time to first fix; Assisted GPS; Real-time computing; Remote sensing; Electronic engineering; Channel (broadcasting); Telecommunications; Engineering; Geography; Bandwidth (computing)","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":[0.0001968937,0.0001889839,0.0001838997,0.0001585124,0.0002556385,0.0001270614,0.00007708273,0.0001409625,0.00000976001],"category_scores_gemma":[0.000001022853,0.000199236,0.00005303617,0.0004487425,0.00003321429,0.0002400615,4.252364e-7,0.0002812908,0.00007388293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002577845,"about_ca_system_score_gemma":0.00003180082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002488358,"about_ca_topic_score_gemma":0.00006920611,"domain_scores_codex":[0.9988278,0.00008101035,0.0002184089,0.0002542393,0.0001703228,0.0004482063],"domain_scores_gemma":[0.9995804,0.00003909905,0.00003044415,0.0002032409,0.0000521691,0.00009468832],"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":[0.00002450096,0.00003368734,0.00002842714,0.00008886751,0.00007296399,0.000001924327,0.0005723556,0.6896752,0.30683,0.0001300548,0.0001179699,0.002424011],"study_design_scores_gemma":[0.000424166,0.00034402,0.0003513874,0.0004148051,0.00006859092,0.00006382526,0.0005765837,0.9394065,0.05718964,0.00003754624,0.0007405485,0.0003823891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8402694,0.0006514881,0.157324,0.00003388227,0.0006372626,0.000212844,0.0000174396,0.0006179045,0.0002357897],"genre_scores_gemma":[0.9987803,0.0006404778,0.00003029037,0.000009629083,0.00006173644,0.00004345521,0.00002281559,0.00004040779,0.0003709008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2497313,"threshold_uncertainty_score":0.8124608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955502947860753,"score_gpt":0.2480057933928487,"score_spread":0.2284507639142412,"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."}}