{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002999043,0.00007445364,0.00010205,0.00007792647,0.00007000878,0.00005937253,0.0001062078,0.00002807686,0.000006967572],"category_scores_gemma":[0.0000763622,0.00006722887,0.00002312479,0.0002886566,0.0002575359,0.000304707,0.00001313492,0.00005047353,0.000002825008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000214432,"about_ca_system_score_gemma":0.00009481968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001805509,"about_ca_topic_score_gemma":8.278153e-7,"domain_scores_codex":[0.9993675,0.00001611484,0.0001092193,0.0001324801,0.000221496,0.0001532043],"domain_scores_gemma":[0.9996459,0.00003331017,0.00003094236,0.0001151676,0.00008021158,0.00009448484],"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":[0.00003580256,0.00002215758,0.004554697,0.00002495848,0.00001802018,0.000001347224,0.002416751,0.7811185,0.2058952,0.001505415,0.0002130462,0.004194089],"study_design_scores_gemma":[0.0003220167,0.0004349183,0.0225545,0.0002347659,0.00001601857,0.00002571403,0.0002468512,0.9453992,0.0298114,0.0007146187,0.00001070982,0.00022924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943513,0.00005337227,0.001491133,0.000003588318,0.0004505978,0.00004636506,0.000002730582,0.00004629573,0.003554571],"genre_scores_gemma":[0.9990864,0.00001264873,0.0008310908,0.0000011338,0.00005338681,6.86707e-7,2.717186e-7,0.000005800231,0.000008579016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1760838,"threshold_uncertainty_score":0.2741514,"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."}}