{"id":"W2562757316","doi":"10.1515/jag-2014-0030","title":"An Improved Between-Satellite Single-Difference Precise Point Positioning Model for Combined GPS/Galileo Observations","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Geodesy","topic":"GNSS positioning and interference","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Galileo (satellite navigation); Global Positioning System; Precise Point Positioning; Satellite; Geodesy; Computer science; GPS disciplined oscillator; Time to first fix; Remote sensing; Assisted GPS; GNSS applications; GPS signals; Geography; Telecommunications; Engineering; Aerospace engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034863,0.0002025583,0.0003354369,0.0001401535,0.00009635381,0.0001592142,0.0002896385,0.0001132223,0.000002909428],"category_scores_gemma":[0.00003655733,0.0001981346,0.0001018202,0.0001333485,0.00003485752,0.0003479001,0.00001854588,0.0002858014,0.000004145176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00017327,"about_ca_system_score_gemma":0.00007280896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003865794,"about_ca_topic_score_gemma":0.000004354713,"domain_scores_codex":[0.9987095,0.00001469767,0.0006181204,0.0001526986,0.0002148653,0.0002901233],"domain_scores_gemma":[0.9987864,0.00008976649,0.0002139761,0.0002246706,0.0004062947,0.0002788204],"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":[0.0004837834,0.0002998301,0.0004212778,0.00009691159,0.0002000688,0.000001883608,0.003981226,0.5752015,0.403468,0.005009926,0.0008825308,0.009953025],"study_design_scores_gemma":[0.001634654,0.0007266101,0.001632226,0.0001541485,0.0001135072,0.00001345704,0.0002367031,0.9403279,0.03473137,0.01999696,0.00009360754,0.0003388128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5996519,0.0000740596,0.3981676,0.00009070578,0.0002022382,0.0002155626,0.00003049573,0.0001130537,0.001454346],"genre_scores_gemma":[0.9571325,0.000011997,0.04242975,0.00006167241,0.0001965872,0.00002545036,0.00005061761,0.00004045014,0.00005104418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3687366,"threshold_uncertainty_score":0.8079693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06371307620203942,"score_gpt":0.2540084808582264,"score_spread":0.190295404656187,"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."}}