{"id":"W2360998721","doi":"","title":"Correlation of troposphere delay parameters in precise point positioning","year":2013,"lang":"en","type":"article","venue":"Cehui kexue","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Autocorrelation; Troposphere; Zenith; Precise Point Positioning; Mathematics; Geodesy; Exponential function; Environmental science; Statistics; Physics; Meteorology; GNSS applications; Mathematical analysis; Geography; Satellite","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":[0.0009597117,0.0005188143,0.0003896241,0.001426892,0.0002518967,0.0006620261,0.0003027975,0.0003973494,0.0005015894],"category_scores_gemma":[0.004314477,0.0002955753,0.0003502668,0.002223877,0.0003233748,0.001078383,0.0004037213,0.0004784453,0.0002268175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005430132,"about_ca_system_score_gemma":0.0007696368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007441974,"about_ca_topic_score_gemma":0.007697934,"domain_scores_codex":[0.9989505,0.0001478109,0.00006084963,0.0002811228,0.0004578324,0.0001018769],"domain_scores_gemma":[0.9988022,0.0004509058,0.0001889009,0.0001376976,0.0003878644,0.00003233791],"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":[0.0003532502,0.00005773358,0.1358321,0.000311407,0.0002599763,0.0005983809,0.0005885501,0.5673698,0.04651831,0.01255248,0.001705391,0.2338527],"study_design_scores_gemma":[0.00002304764,0.0001313489,0.1058919,0.00002990915,0.0001144455,0.0004706274,0.0001411485,0.8664246,0.01860787,0.004641986,0.003379404,0.0001436793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.519147,0.001054166,0.4761281,0.0001095995,0.00009756208,0.00003118203,0.0004653246,0.0004822355,0.002484828],"genre_scores_gemma":[0.980602,0.0003674657,0.01775047,0.00001021135,0.00002633163,0.00001462897,0.0004611689,0.00005064002,0.0007171753],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007441974,"threshold_uncertainty_score":0.01479733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004266700679830137,"score_gpt":0.1848745745685509,"score_spread":0.1806078738887207,"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."}}