{"id":"W3124703186","doi":"10.2478/arsa-2020-0012","title":"Assessment of GNSS PPP-Based Zenith Tropospheric Delay","year":2020,"lang":"en","type":"article","venue":"Artificial Satellites","topic":"GNSS positioning and interference","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Galileo (satellite navigation); GNSS applications; Zenith; Global Positioning System; Precise Point Positioning; Geodesy; Troposphere; Environmental science; Satellite; Remote sensing; Meteorology; Constellation; Computer science; Geography; Telecommunications; Physics","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":[0.001113274,0.0005432998,0.0002800321,0.000997876,0.0001999751,0.0009594063,0.0003415199,0.0003480217,0.0006716615],"category_scores_gemma":[0.004220339,0.0001755406,0.0002839088,0.001971261,0.000253422,0.0006638077,0.0005236519,0.000291522,0.0003927529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005641083,"about_ca_system_score_gemma":0.0006296911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01578951,"about_ca_topic_score_gemma":0.01110805,"domain_scores_codex":[0.9993697,0.0001191505,0.0000504337,0.000154598,0.0002461026,0.00006006929],"domain_scores_gemma":[0.9987177,0.0002588915,0.000188576,0.0003081672,0.0004992364,0.0000274908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0007922511,0.0000525527,0.3768867,0.0004268097,0.0004684061,0.0005776623,0.0002664003,0.4094129,0.03784306,0.003135439,0.004111784,0.1660261],"study_design_scores_gemma":[0.00009392893,0.0002114524,0.5135384,0.0001258704,0.0002289889,0.0004395855,0.0003018483,0.4283846,0.03478279,0.00197548,0.019772,0.000145043],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.89805,0.001296628,0.07840026,0.0002274276,0.0002260937,0.00007202852,0.008524681,0.001363447,0.01183947],"genre_scores_gemma":[0.9868848,0.0002560458,0.007605891,0.00002225467,0.00002407833,0.00001101478,0.004715832,0.00007362384,0.0004063078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01578951,"threshold_uncertainty_score":0.0313952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115689147401876,"score_gpt":0.2396618532742678,"score_spread":0.218504961800249,"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."}}