{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002747176,0.00009307888,0.0001847917,0.00004394892,0.0002916689,0.0003110892,0.0003332431,0.00004687706,0.0001541805],"category_scores_gemma":[0.0001293101,0.00008067746,0.00003620434,0.0006788792,0.0004126739,0.0008012353,0.00006112296,0.0004396253,0.00004066932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002347453,"about_ca_system_score_gemma":0.0002138403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001115958,"about_ca_topic_score_gemma":0.000005476321,"domain_scores_codex":[0.9979604,0.00009710358,0.0003479795,0.0001717812,0.0009957273,0.0004269828],"domain_scores_gemma":[0.9985777,0.0001633579,0.00007577809,0.000176653,0.000787565,0.0002189865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000258073,0.0002213866,0.04788978,0.0003618675,0.0001028962,0.00007673771,0.006779009,0.09980371,0.8080625,0.009044168,0.004292837,0.02310704],"study_design_scores_gemma":[0.001590783,0.002392694,0.6504441,0.0008712818,0.00002087249,0.0008090688,0.003354925,0.2963147,0.03778766,0.005322824,0.0004670875,0.0006239474],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847115,0.0003136332,0.0008241571,0.0001335393,0.0002828736,0.00008278061,0.000001195355,0.0000244526,0.01362593],"genre_scores_gemma":[0.9969339,0.0003049826,0.002388698,0.00001488669,0.00007255377,0.00000231669,4.865121e-7,0.00001036162,0.0002718519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7702748,"threshold_uncertainty_score":0.3289931,"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."}}