{"id":"W2915621969","doi":"10.3390/rs11040411","title":"Evaluation of Orbit, Clock and Ionospheric Corrections from Five Currently Available SBAS L1 Services: Methodology and Analysis","year":2019,"lang":"en","type":"article","venue":"Remote Sensing","topic":"GNSS positioning and interference","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Qingdao National Laboratory for Marine Science and Technology; Centre National d’Etudes Spatiales; National Natural Science Foundation of China","keywords":"Global Positioning System; GNSS augmentation; Geostationary orbit; Computer science; Satellite; Ionosphere; Geodesy; Remote sensing; Orbit (dynamics); Satellite navigation; Telecommunications; Geography; Geology; Aerospace engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001523703,0.0008102456,0.0003821254,0.001920824,0.0003711143,0.0006147437,0.0004476985,0.0003518456,0.0006381329],"category_scores_gemma":[0.003205878,0.000167419,0.00039225,0.001453114,0.000239126,0.0005006269,0.0004838927,0.0002550825,0.0002633365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005798717,"about_ca_system_score_gemma":0.001087445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01380265,"about_ca_topic_score_gemma":0.01119029,"domain_scores_codex":[0.9991109,0.000132987,0.00006672493,0.0001261222,0.0004945881,0.00006867305],"domain_scores_gemma":[0.9985508,0.0002841521,0.0002519227,0.000103266,0.0007617996,0.00004799348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007551428,0.0003975264,0.2582165,0.000784936,0.0003541413,0.0005848428,0.0006357554,0.138973,0.05227707,0.001790875,0.001880959,0.5433494],"study_design_scores_gemma":[0.00007421125,0.001006906,0.2543359,0.00007202966,0.0003300211,0.0005003007,0.000783249,0.6905129,0.04731233,0.0004277773,0.004528966,0.0001153899],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8758596,0.0007226702,0.1191319,0.00007293776,0.00003799503,0.000237023,0.0007498977,0.0006454823,0.002542521],"genre_scores_gemma":[0.922904,0.0003553346,0.07306585,0.00002344718,0.00002209992,0.0001570607,0.00226694,0.00005231566,0.001153009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01380265,"threshold_uncertainty_score":0.0274446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03847781554877087,"score_gpt":0.2713627514274146,"score_spread":0.2328849358786437,"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."}}