{"id":"W1527355223","doi":"10.4236/pos.2015.62002","title":"An Improved Model for Single-Frequency GPS/GALILEO Precise Point Positioning","year":2015,"lang":"en","type":"article","venue":"Positioning","topic":"GNSS positioning and interference","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Galileo (satellite navigation); Global Positioning System; Precise Point Positioning; Geodesy; Satellite; Computer science; Constellation; UTC offset; Time to first fix; Medium Earth orbit; Remote sensing; GNSS applications; Assisted GPS; Real-time computing; GPS signals; Geography; Telecommunications; Engineering; Physics; Aerospace engineering; Geostationary orbit","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006957747,0.0008119186,0.0008366721,0.0007077786,0.0004247508,0.001356777,0.002292403,0.001189356,0.003712561],"category_scores_gemma":[0.001799803,0.0005901947,0.0009426273,0.001567415,0.0004446995,0.001578466,0.0009027377,0.00159936,0.002511116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009744411,"about_ca_system_score_gemma":0.001638394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03322452,"about_ca_topic_score_gemma":0.01748016,"domain_scores_codex":[0.9992187,0.0001147294,0.00003537019,0.000203352,0.0003572718,0.00007058489],"domain_scores_gemma":[0.9994821,0.000120544,0.00004826573,0.0001031045,0.0002269052,0.00001913001],"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":[0.00002770038,0.00001553406,0.001031274,0.00005444765,0.0000257093,0.00007867561,0.00005743425,0.9532198,0.001542396,0.01365558,0.002306937,0.02798451],"study_design_scores_gemma":[0.00000694588,0.00001112219,0.0003935826,0.00000621861,0.00001080116,0.00003748749,0.000007290753,0.9904619,0.0003774973,0.003467467,0.005207288,0.00001242142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00666405,0.000151882,0.9863549,0.0001299709,0.0001440775,0.00003789251,0.0007146602,0.0007362873,0.005066325],"genre_scores_gemma":[0.5429842,0.001255667,0.4194003,0.0003326855,0.0003556813,0.0005516256,0.006256215,0.0009877868,0.02787577],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03322452,"threshold_uncertainty_score":0.06606227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03733868960597004,"score_gpt":0.2544855507420689,"score_spread":0.2171468611360989,"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."}}