{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003515945,0.00009014777,0.0002152332,0.00008276736,0.00004309123,0.0000242504,0.00002663367,0.00005607062,0.0001114719],"category_scores_gemma":[0.00002723392,0.00009527129,0.00003409304,0.0002650013,0.00001795375,0.00007759757,0.00001903962,0.00009612666,0.00001724478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003488052,"about_ca_system_score_gemma":0.00001227864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002074697,"about_ca_topic_score_gemma":0.0001457617,"domain_scores_codex":[0.999276,0.0001561909,0.0001614896,0.0001751366,0.0001294891,0.0001016651],"domain_scores_gemma":[0.9994438,0.0001534098,0.00005304631,0.0001498426,0.0001671564,0.00003275713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002980165,0.00002688959,0.01608055,0.0002929796,0.002560393,0.000001387577,0.007690372,0.3655734,0.1136297,0.00006261648,0.0002369796,0.4938149],"study_design_scores_gemma":[0.0001703392,0.00001717773,0.004682734,0.0001075396,0.0007486472,0.00000376883,0.000304419,0.9890317,0.004415874,0.0003886256,0.00003798664,0.00009116817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610956,0.001352534,0.0332591,0.000005935022,0.0003173463,0.00007636475,0.000005756399,0.0000451766,0.003842154],"genre_scores_gemma":[0.9794626,0.00007642835,0.02031155,0.000008148511,0.00002442682,2.67888e-8,0.00002260124,0.000009465553,0.00008474633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6234583,"threshold_uncertainty_score":0.388505,"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."}}