{"id":"W2774655370","doi":"10.1007/s10291-017-0688-4","title":"On the accuracy of the GPS L2 observable for ionospheric monitoring","year":2017,"lang":"en","type":"article","venue":"GPS Solutions","topic":"GNSS positioning and interference","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Canadian Space Agency; New Brunswick Innovation Foundation; Natural Sciences and Engineering Research Council of Canada; Armstrong Foundation","keywords":"Global Positioning System; Observable; Ionosphere; Tracking (education); GPS signals; Geodesy; Phase (matter); Computer science; Remote sensing; Physics; Environmental science; Assisted GPS; Telecommunications; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007715639,0.00006333966,0.00006060539,0.000006125644,0.0008418637,0.00006125105,0.0003780494,0.00003126582,0.0000168545],"category_scores_gemma":[0.0003029782,0.00004054439,0.00006910356,0.00003430257,0.00005405507,0.00009480618,0.00004652602,0.0001060609,0.0000200278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003310001,"about_ca_system_score_gemma":0.00001438148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006976078,"about_ca_topic_score_gemma":0.000008483392,"domain_scores_codex":[0.9996088,0.000009785492,0.00009497858,0.00006572869,0.00006309254,0.0001576127],"domain_scores_gemma":[0.9992226,0.0001703043,0.00004732225,0.0005016593,0.00004065441,0.00001748637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002921698,0.0002577368,0.01172863,0.0002362613,0.0003461553,5.865594e-7,0.002808403,0.3094276,0.08043689,0.44145,0.1429538,0.01032477],"study_design_scores_gemma":[0.001091789,0.0002279613,0.4781379,0.001654451,0.000180467,0.000009255398,0.0008714392,0.2741735,0.156167,0.05930666,0.02738358,0.0007960674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382857,0.000334433,0.01808506,0.002318249,0.003079748,0.0004655728,0.00005869068,0.0001774325,0.03719508],"genre_scores_gemma":[0.998846,0.00002172027,0.0003827359,0.00001378819,0.00009300364,0.00006769849,9.283505e-7,0.000009920265,0.0005642184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4664092,"threshold_uncertainty_score":0.647502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07860424353244408,"score_gpt":0.2718477623528799,"score_spread":0.1932435188204358,"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."}}