{"id":"W1860275695","doi":"10.1002/2014rs005513","title":"Impact of equatorial ionospheric irregularities on GNSS receivers using real and synthetic scintillation signals","year":2015,"lang":"en","type":"article","venue":"Radio Science","topic":"GNSS positioning and interference","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Forskningsrådet om Hälsa, Arbetsliv och Välfärd","keywords":"GNSS applications; Scintillation; Interplanetary scintillation; GNSS augmentation; Remote sensing; Computer science; SIGNAL (programming language); Satellite system; Geology; Physics; Global Positioning System; Telecommunications; Detector","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":[0.0009415111,0.0003868695,0.0002870418,0.000424563,0.0002370189,0.0007289071,0.0003073607,0.0003606545,0.0003729233],"category_scores_gemma":[0.005064009,0.0002096899,0.0003244835,0.0006733166,0.0005404189,0.0004715361,0.0004470765,0.0002686337,0.00006600769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005901111,"about_ca_system_score_gemma":0.0004123429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00645253,"about_ca_topic_score_gemma":0.004938391,"domain_scores_codex":[0.9993659,0.0001776204,0.00005618185,0.00008464456,0.0002316428,0.00008406679],"domain_scores_gemma":[0.9971668,0.001606002,0.0005031608,0.0002868573,0.0003658232,0.00007134882],"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":[0.0006214367,0.00007310609,0.06923183,0.00006691008,0.0001061153,0.0003270188,0.0001245269,0.8952537,0.02347735,0.000584749,0.0001514477,0.009981824],"study_design_scores_gemma":[0.00005967466,0.0004134397,0.06791733,0.00001804143,0.00006583831,0.0002605285,0.0001320215,0.8998345,0.03068614,0.0002512527,0.0003161436,0.00004512577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947256,0.00002674583,0.004545656,0.00001603624,0.000005124743,0.000008418379,0.0001104037,0.0000732101,0.0004887515],"genre_scores_gemma":[0.9992879,0.00001595272,0.000548899,0.000003726962,0.000001113271,0.000001871252,0.00009114659,0.000006840187,0.00004264664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00645253,"threshold_uncertainty_score":0.01282996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03488731938532713,"score_gpt":0.2813047811078404,"score_spread":0.2464174617225133,"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."}}