{"id":"W2106389019","doi":"10.1007/s10291-005-0017-1","title":"Analysis of GPS RTK performance using external NOAA tropospheric corrections integrated with a multiple reference station approach","year":2006,"lang":"en","type":"article","venue":"GPS Solutions","topic":"GNSS positioning and interference","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Global Positioning System; Environmental science; Troposphere; Remote sensing; Meteorology; Geodesy; Computer science; Geology; Geography; Telecommunications","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":[0.00005594895,0.0001325481,0.0001882158,0.000200677,0.0002018395,0.00003342768,0.0000925519,0.00005559908,0.00003784049],"category_scores_gemma":[0.000008836239,0.0001229371,0.00005919798,0.001229545,0.0000757538,0.0001965096,0.00001122359,0.0001768363,0.00000603537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001520446,"about_ca_system_score_gemma":0.00003812956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002503566,"about_ca_topic_score_gemma":0.000709092,"domain_scores_codex":[0.9991996,0.00002655587,0.0002533674,0.0001603787,0.0001360769,0.0002239871],"domain_scores_gemma":[0.9995183,0.00002679885,0.00006979833,0.0001824009,0.0001662345,0.00003647503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001240968,0.00007826606,0.02410466,0.00001658964,0.0001311742,2.131712e-7,0.0001621765,0.9666139,0.008266683,0.0002469039,0.00006215557,0.0003048445],"study_design_scores_gemma":[0.0001581356,0.00004907234,0.1032993,0.00005195561,0.00029042,0.000006178116,0.0001988819,0.8949527,0.0008220617,0.000009184788,0.00003273445,0.0001294148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5211768,0.00005355043,0.4760067,0.000001210587,0.00004951893,0.00005210175,0.00004809136,0.0001015518,0.002510471],"genre_scores_gemma":[0.9804401,0.00001345019,0.01912195,0.000002414957,0.00001972964,0.00002589258,0.0002079569,0.00001490403,0.0001535917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4592634,"threshold_uncertainty_score":0.5013229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02249368944827631,"score_gpt":0.2134075936966116,"score_spread":0.1909139042483352,"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."}}