{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003978677,0.00006548025,0.00008957454,0.00003852142,0.00001503911,0.00001266325,0.00003431154,0.00006417606,0.0001299031],"category_scores_gemma":[0.00001598591,0.00006713899,0.00002719504,0.0001287943,0.00001232666,0.0001935356,0.000005067009,0.00009183444,0.00006852796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005594127,"about_ca_system_score_gemma":0.000003413055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002952955,"about_ca_topic_score_gemma":0.00002487231,"domain_scores_codex":[0.9995518,0.00001536616,0.0001888422,0.00006761675,0.00006750086,0.00010882],"domain_scores_gemma":[0.9998037,0.00003168785,0.00002483112,0.00008220594,0.00003084456,0.00002671396],"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":[0.00001589587,0.00003010705,0.004839706,0.00004667009,0.00001686195,0.0000033512,0.0009160303,0.9195789,0.05859052,0.0004334995,0.001110599,0.0144179],"study_design_scores_gemma":[0.0007148868,0.00008118025,0.05215929,0.0001710766,0.00001598625,0.000008488263,0.0002032577,0.8268644,0.117963,0.001459847,0.0001021864,0.0002564639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859064,0.0000798775,0.009019079,0.0000305629,0.0001778731,0.0001776361,0.00000168273,0.00005753037,0.004549309],"genre_scores_gemma":[0.9984021,0.000007564547,0.00145827,0.00001217175,0.0000177109,0.00001427712,0.00001935647,0.00001321942,0.00005532546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09271447,"threshold_uncertainty_score":0.2737849,"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."}}