{"id":"W2265882436","doi":"","title":"WAAS Benefits of GEO Ranging","year":2008,"lang":"en","type":"article","venue":"Proceedings of the 21st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2008)","topic":"GNSS positioning and interference","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ranging; Geostationary orbit; Global Positioning System; Remote sensing; Computer science; Satellite; Telecommunications; Real-time computing; Engineering; Geography; Aerospace 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006214757,0.0005578182,0.0002021077,0.001013115,0.0008334257,0.001773825,0.0006746517,0.0006884109,0.01484708],"category_scores_gemma":[0.003206835,0.0001705858,0.0002462244,0.001631821,0.0005088198,0.002173793,0.002535491,0.0009917,0.00497643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006522313,"about_ca_system_score_gemma":0.00082973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007312404,"about_ca_topic_score_gemma":0.01102639,"domain_scores_codex":[0.9991677,0.0001619344,0.00003837269,0.00009740885,0.0004276632,0.0001070026],"domain_scores_gemma":[0.9976454,0.0003551936,0.0002711413,0.0003770963,0.00122815,0.0001229533],"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":[0.0004084696,0.0001298337,0.03474899,0.0006107457,0.00008341594,0.001327247,0.0009558391,0.01376138,0.02356658,0.06961191,0.05377714,0.8010184],"study_design_scores_gemma":[0.00004610769,0.0005097932,0.0665376,0.0002863827,0.0001693945,0.003677089,0.003485835,0.01166513,0.016352,0.01964894,0.8775173,0.000104211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1407665,0.005045286,0.08530884,0.01054479,0.001433936,0.0001482703,0.002014762,0.004963068,0.7497745],"genre_scores_gemma":[0.9070722,0.002196981,0.02200706,0.001195167,0.0003639183,0.00006807918,0.00108254,0.0003575745,0.06565634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01484708,"threshold_uncertainty_score":0.04966837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01601724968618831,"score_gpt":0.2282129611815253,"score_spread":0.212195711495337,"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."}}