{"id":"W2187848636","doi":"","title":"DGPS RTK Positioning Using a Reference Network","year":2000,"lang":"en","type":"article","venue":"Proceedings of the 13th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 2000)","topic":"GNSS positioning and interference","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Robustness (evolution); Differential GPS; Global Positioning System; Differential (mechanical device); Base station; Precise Point Positioning; Real-time computing; Remote sensing; Telecommunications; Geography; GNSS applications; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000602663,0.0002123947,0.0003128542,0.00008060844,0.0001974009,0.00003517817,0.001936247,0.0001540598,0.00004040268],"category_scores_gemma":[0.0003686694,0.0001378489,0.0002960132,0.0006269002,0.0004107834,0.0003342964,0.000399182,0.0004114468,0.000002720255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000151688,"about_ca_system_score_gemma":0.0000471299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008508313,"about_ca_topic_score_gemma":0.000001604276,"domain_scores_codex":[0.9977058,0.0000300454,0.001025083,0.0002219299,0.0008139152,0.0002032174],"domain_scores_gemma":[0.9981345,0.00008434666,0.0007861285,0.0003709408,0.0005844866,0.00003957574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001587534,0.0001989727,0.006266874,0.0004316447,0.0001679211,1.724239e-7,0.0004692854,0.3442369,0.6264366,0.01286221,0.001130286,0.007640459],"study_design_scores_gemma":[0.0007106507,0.0001284326,0.03528577,0.02024278,0.0001703134,0.00005714079,0.00006296877,0.04287378,0.8767857,0.01798222,0.005257119,0.0004431105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802299,0.0003305728,0.0001461631,0.0005459207,0.0009469781,0.0003181061,0.00003585219,0.00007213664,0.01737437],"genre_scores_gemma":[0.9954931,0.0001169551,0.003999727,0.00004510686,0.00008474092,0.00000685207,0.000006490575,0.00002285611,0.0002242216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3013631,"threshold_uncertainty_score":0.5621314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605643261127325,"score_gpt":0.2449936079615688,"score_spread":0.2289371753502955,"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."}}