{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001489068,0.000958938,0.001070277,0.0009371511,0.0004628014,0.001461736,0.002818611,0.001206557,0.002207215],"category_scores_gemma":[0.003014508,0.001045939,0.001341382,0.001669253,0.0007494625,0.001777007,0.00126538,0.001604723,0.0009902923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326149,"about_ca_system_score_gemma":0.001441324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0350385,"about_ca_topic_score_gemma":0.01699051,"domain_scores_codex":[0.998697,0.0002704617,0.00006625971,0.0004214916,0.0004230521,0.0001217777],"domain_scores_gemma":[0.9990851,0.000295291,0.0001405416,0.0001207789,0.0003208443,0.00003746396],"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":[0.00002789342,0.00001551865,0.001385054,0.00002650555,0.00003503785,0.00005256108,0.00003294783,0.9845398,0.0006184385,0.002921064,0.0004337762,0.009911403],"study_design_scores_gemma":[0.000006291392,0.00001032564,0.0003861465,0.000002764847,0.000008724459,0.00001199598,0.000003230477,0.9981494,0.0001065432,0.0008864593,0.0004199074,0.00000823086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02875553,0.0001956211,0.9653168,0.0001972983,0.0001050516,0.00007780705,0.0006403514,0.0006823654,0.004029175],"genre_scores_gemma":[0.8679845,0.0003939557,0.1188127,0.0001819541,0.0001334172,0.0003508033,0.002252986,0.0002787873,0.009610892],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0350385,"threshold_uncertainty_score":0.06966913,"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."}}