{"id":"W2200646936","doi":"","title":"Comparison of IGS and Radiosonde Determination of ZTD in the Canadian Arctic","year":2006,"lang":"en","type":"article","venue":"Proceedings of the 19th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2006)","topic":"GNSS positioning and interference","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Radiosonde; Zenith; Meteorology; Troposphere; Environmental science; Global Positioning System; Numerical weather prediction; GNSS applications; Data assimilation; Arctic; Geodesy; Geography; Geology; Computer science; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008065575,0.0001462684,0.0003055209,0.0001752078,0.00008351015,0.00001793683,0.001115563,0.0001183865,0.000002828941],"category_scores_gemma":[0.0005754768,0.00008904489,0.0001706943,0.0004545264,0.0004680685,0.0001857642,0.0001546818,0.0002794766,2.269535e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000120343,"about_ca_system_score_gemma":0.00004129168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004771123,"about_ca_topic_score_gemma":0.0008588519,"domain_scores_codex":[0.9979895,0.00003262336,0.001021141,0.0001437138,0.0006835441,0.0001294259],"domain_scores_gemma":[0.9980898,0.0001416171,0.0009546813,0.0002110937,0.0005792017,0.00002362028],"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":[0.0001154144,0.0004742854,0.2050573,0.001664847,0.00008789437,2.013923e-7,0.001746224,0.02718014,0.7005825,0.05310588,0.0003832133,0.009602043],"study_design_scores_gemma":[0.0004088182,0.00008402194,0.2467066,0.005528803,0.00006086765,0.00001145729,0.0001296797,0.01220201,0.7253911,0.008974705,0.0003629224,0.0001389322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932407,0.0002036505,0.00007657348,0.0007987124,0.0003909859,0.0003328379,0.00004213806,0.00001301633,0.0049014],"genre_scores_gemma":[0.9987118,0.00002810231,0.001167198,0.0000115977,0.00002426117,0.000007259569,0.000006900558,0.00001129436,0.00003162223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04413118,"threshold_uncertainty_score":0.7212543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01405840386942311,"score_gpt":0.2630923593586973,"score_spread":0.2490339554892742,"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."}}