{"id":"W122719754","doi":"10.4401/ag-6320","title":"Sensing the upper and lower levels of the atmosphere during the 2009 equinoxes using GPS measurements","year":2014,"lang":"en","type":"article","venue":"Annals of Geophysics","topic":"GNSS positioning and interference","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; National Institute of Polar Research; Háskóli Íslands; National Aeronautics and Space Administration","keywords":"Equinox; Solstice; Atmosphere (unit); Atmospheric sciences; Environmental science; Polar night; Sunrise; Seasonality; Ionosphere; Climatology; Meteorology; Geology; Geodesy; Geography; Latitude; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001679797,0.0001001762,0.0001181526,0.000003848374,0.000142892,0.00002653032,0.000157847,0.0000295295,0.00000506212],"category_scores_gemma":[0.00002798703,0.00005457607,0.00006754923,0.00009112159,0.000102459,0.00008157016,0.0000750767,0.0001138029,0.00000203579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005351576,"about_ca_system_score_gemma":0.000007634174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000688248,"about_ca_topic_score_gemma":0.00000560994,"domain_scores_codex":[0.9993847,0.00004783893,0.0001555655,0.00007864382,0.0001782023,0.0001550296],"domain_scores_gemma":[0.999469,0.00005208589,0.00006729247,0.0002795435,0.000115648,0.000016381],"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":[0.00004386202,0.00009517041,0.01069704,0.0004994977,0.0005750801,6.712093e-7,0.005118337,0.2003089,0.7496793,0.002067883,0.00118162,0.02973262],"study_design_scores_gemma":[0.0003079371,0.00008522587,0.2826555,0.0009668467,0.00008699162,0.00001121255,0.0003012877,0.08986551,0.619844,0.005298637,0.000253832,0.0003230284],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997165,0.0002275102,0.0004955902,0.0001342349,0.0001624166,0.00006211778,0.000006311905,0.00001548588,0.001731327],"genre_scores_gemma":[0.9996721,0.00001364635,0.00009152383,0.00008554139,0.00007122484,4.848604e-7,1.660537e-7,0.00001356548,0.00005170755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2719584,"threshold_uncertainty_score":0.2225547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05250968187358953,"score_gpt":0.2547059779255603,"score_spread":0.2021962960519708,"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."}}