{"id":"W1999687236","doi":"10.1109/tuffc.2009.1228","title":"Further Characterization of the Time Transfer Capabilities of Precise Point Positioning (PPP): The Sliding Batch Procedure","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Advanced Frequency and Time Standards","field":"Physics and Astronomy","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Time transfer; Precise Point Positioning; Global Positioning System; GNSS applications; GLONASS; Geodetic datum; Computer science; Satellite; Real-time computing; Transfer (computing); Geodesy; Engineering; Telecommunications; Geography; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002490127,0.0002308966,0.0003150332,0.00007575309,0.0003434747,0.00003237837,0.0002013593,0.0000823919,0.0001937737],"category_scores_gemma":[0.000009795928,0.0001545463,0.0002163816,0.0004193547,0.0001145407,0.0002225289,4.645957e-7,0.0003680409,0.000001223033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004492718,"about_ca_system_score_gemma":0.0001378744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003330317,"about_ca_topic_score_gemma":0.000005884904,"domain_scores_codex":[0.9986389,0.0001087499,0.0004482379,0.0002520384,0.0002727992,0.0002792227],"domain_scores_gemma":[0.9991035,0.0001988141,0.0001487348,0.0002906366,0.0002082304,0.00005010366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003061585,0.0006175418,0.0007233993,0.00006200747,0.0003377734,5.846943e-7,0.004270264,0.004262807,0.8782811,0.03784892,0.000007110952,0.0732823],"study_design_scores_gemma":[0.006390519,0.002263792,0.005966466,0.0006070883,0.001169771,0.00002187037,0.0007551853,0.03835278,0.8601381,0.08292301,0.0001500391,0.001261444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3196598,0.0001673233,0.6755351,0.001099415,0.0001765464,0.0009470221,0.0006387315,0.00002979521,0.001746316],"genre_scores_gemma":[0.9994575,0.00004135815,0.0001159316,0.00008904399,0.00007991482,0.00004200764,0.000008530322,0.00001952192,0.0001461356],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6797978,"threshold_uncertainty_score":0.6302215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003600560776777769,"score_gpt":0.1963384328382538,"score_spread":0.192737872061476,"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."}}