{"id":"W2165732412","doi":"10.4236/pos.2012.34007","title":"Direct RF Sampling GNSS Receiver Design and Jitter Analysis","year":2012,"lang":"en","type":"article","venue":"Positioning","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; École de technologie supérieure","keywords":"Jitter; GNSS applications; Sampling (signal processing); Computer science; Electronic engineering; SIGNAL (programming language); Radio frequency; Engineering; Global Positioning System; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005123458,0.0005751456,0.0004121409,0.0005001246,0.0003187322,0.0009175075,0.001004374,0.0007738508,0.001969314],"category_scores_gemma":[0.001055543,0.0002553916,0.0003240597,0.0003750873,0.0002884645,0.0004787936,0.0004214256,0.0005517737,0.001017726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007240932,"about_ca_system_score_gemma":0.0007220801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001056205,"about_ca_topic_score_gemma":0.0007849355,"domain_scores_codex":[0.9991084,0.00009748866,0.0000452453,0.0001453777,0.0005255672,0.00007792453],"domain_scores_gemma":[0.9996222,0.00007995557,0.00005695663,0.00005966141,0.0001649032,0.00001628896],"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":[0.0005662186,0.0001003093,0.003170591,0.0006359141,0.0001211075,0.0004393313,0.0002917151,0.08569234,0.6807448,0.02241049,0.001545792,0.2042815],"study_design_scores_gemma":[0.0001315034,0.001441482,0.004948311,0.00007953185,0.0001355676,0.001690298,0.00006296584,0.3929213,0.5623537,0.003857263,0.03229856,0.00007954414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.045865,0.0005775804,0.943288,0.0001200751,0.00007610967,0.0002458226,0.000135235,0.001669211,0.008022884],"genre_scores_gemma":[0.6912892,0.0007457301,0.2965401,0.0001550417,0.0001390973,0.0002771062,0.0003568111,0.000247277,0.01024958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001969314,"threshold_uncertainty_score":0.006587982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02772498358514694,"score_gpt":0.2595681969157677,"score_spread":0.2318432133306208,"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."}}