{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005711418,0.0001012968,0.0001139494,0.00002972715,0.0002236986,0.00007788128,0.0001085313,0.00007592936,0.00003422737],"category_scores_gemma":[0.00001886995,0.00009950611,0.00005049352,0.00001378189,0.00002616481,0.000090138,0.00001834287,0.00005528601,0.0003310693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001075048,"about_ca_system_score_gemma":0.000003881999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003870733,"about_ca_topic_score_gemma":0.00001016088,"domain_scores_codex":[0.9994654,0.000009818214,0.0001320538,0.0001370753,0.00007617479,0.0001794914],"domain_scores_gemma":[0.9995102,0.00002828897,0.00003857264,0.0003323446,0.0000381139,0.00005251508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000513211,0.0001314206,0.0166649,0.004003599,0.001075076,0.0000864891,0.007469625,0.1098456,0.6960421,0.01766171,0.1299255,0.01658075],"study_design_scores_gemma":[0.001538564,0.0003373409,0.09448544,0.001407157,0.0001887355,0.000165393,0.0004048375,0.6387628,0.1663306,0.000138398,0.09525893,0.0009817838],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9132909,0.00005349091,0.0001425712,0.00003623223,0.0007138732,0.0001634179,0.0001230086,0.0005038914,0.08497263],"genre_scores_gemma":[0.9914158,0.0000477339,0.0003361692,0.00000283681,0.0001787062,0.00001665169,0.00003661602,0.0000288414,0.007936634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5297115,"threshold_uncertainty_score":0.4255337,"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."}}