{"id":"W2752525213","doi":"10.3390/s17091981","title":"GPS Satellite Orbit Prediction at User End for Real-Time PPP System","year":2017,"lang":"en","type":"article","venue":"Sensors","topic":"GNSS positioning and interference","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trusted Positioning (Canada); University of Calgary","funders":"China Scholarship Council","keywords":"Precise Point Positioning; Geodesy; Orbit (dynamics); Satellite; Satellite system; Global Positioning System; GNSS applications; Computer science; Orbit determination; Kinematics; Mean squared error; Simulation; Remote sensing; Aerospace engineering; Geology; Physics; Engineering; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005692825,0.0005210747,0.0004377346,0.0005020162,0.0003373104,0.0005976395,0.0007063083,0.0004500235,0.001247586],"category_scores_gemma":[0.001177315,0.0002234662,0.0003538094,0.0005522015,0.0002170128,0.0008332978,0.0006668342,0.000525388,0.0007393939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003172174,"about_ca_system_score_gemma":0.0007364082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008169518,"about_ca_topic_score_gemma":0.003945555,"domain_scores_codex":[0.9995176,0.00008159129,0.00002926553,0.00009727463,0.0002239608,0.00005025223],"domain_scores_gemma":[0.9995186,0.00003859309,0.00003812931,0.00009924715,0.000280826,0.00002454495],"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":[0.0004857609,0.00008540555,0.03544977,0.0001731217,0.00006957375,0.0005327798,0.0002857501,0.5630752,0.02669144,0.004819931,0.007603419,0.3607278],"study_design_scores_gemma":[0.00001665302,0.00005669351,0.003290086,0.000005771448,0.00001615398,0.00006428266,0.00003221451,0.9854595,0.008088765,0.0006440419,0.002309386,0.00001637577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1052042,0.0002376067,0.8856898,0.0001347795,0.0001548372,0.00007274334,0.0004211036,0.00437609,0.003708865],"genre_scores_gemma":[0.8957565,0.0001788101,0.1000118,0.00004229885,0.00005142355,0.0000548,0.001001654,0.00009466505,0.002808094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008169518,"threshold_uncertainty_score":0.01624393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116138189069238,"score_gpt":0.2156431463264979,"score_spread":0.2040293274195741,"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."}}