{"id":"W2922151852","doi":"10.30564/jasr.v2i1.343","title":"Moderate Geomagnetic Storm Condition, WAAS Alerts and real GPS Positioning Quality","year":2019,"lang":"en","type":"article","venue":"Journal of Atmospheric Science Research","topic":"GNSS positioning and interference","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Differential GPS; Global Positioning System; Ephemeris; Computer science; Real-time computing; Constellation; Geomagnetic storm; Meteorology; Environmental science; Earth's magnetic field; Remote sensing; Geodesy; Geology; Telecommunications; Engineering; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005084692,0.0001156272,0.0001611896,0.0005800088,0.0001889469,0.0007665437,0.0001596563,0.0003204223,0.000965697],"category_scores_gemma":[0.004302014,0.00006209921,0.0001149524,0.0007834689,0.0003968344,0.0005085858,0.0003538084,0.0002860751,0.0001307081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007852812,"about_ca_system_score_gemma":0.0004698752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05074103,"about_ca_topic_score_gemma":0.05809113,"domain_scores_codex":[0.9992853,0.00007382833,0.00007278354,0.0001399576,0.000309137,0.0001190643],"domain_scores_gemma":[0.9969592,0.0006873001,0.001169229,0.0002002647,0.000731301,0.0002528022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002091491,0.00004056675,0.9876387,0.00003404339,0.0000370356,0.0001493178,0.0003057991,0.00298091,0.002018469,0.0001700419,0.0004042363,0.006011838],"study_design_scores_gemma":[0.000002383669,0.00006264653,0.9971489,0.000005484867,0.000009130646,0.00005694313,0.0003600892,0.0014698,0.0004282845,0.00004318364,0.0004086789,0.000004489478],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980441,0.00006809535,0.0002018132,0.00004427775,0.000005100021,0.000004971272,0.0004009634,0.00001532181,0.001215388],"genre_scores_gemma":[0.9994481,0.00001812159,0.00006245916,0.000006380586,0.000003033434,0.000001094934,0.0003387918,0.000001468989,0.0001205859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05074103,"threshold_uncertainty_score":0.1008914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03494152641752803,"score_gpt":0.3569344884881861,"score_spread":0.3219929620706581,"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."}}