{"id":"W2135750150","doi":"10.1175/1520-0426(2001)018<0830:comoaw>2.0.co;2","title":"Comparison of Measurements of Atmospheric Wet Delay by Radiosonde, Water Vapor Radiometer, GPS, and VLBI","year":2001,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"GNSS positioning and interference","field":"Engineering","cited_by":288,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Radiosonde; Zenith; Environmental science; Radiometer; Global Positioning System; Very-long-baseline interferometry; Remote sensing; Radio occultation; Meteorology; Water vapor; Microwave radiometer; Geodesy; Geology; Physics","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":[0.0001817707,0.0001786532,0.000589752,0.00001637191,0.00003885818,0.00001193224,0.0002072683,0.0001948444,0.00005656283],"category_scores_gemma":[0.00002431023,0.0001374124,0.00006416267,0.0002947829,0.0001676955,0.0001253228,0.00004080058,0.0002900175,0.000001187023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000458671,"about_ca_system_score_gemma":0.00001460823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006281581,"about_ca_topic_score_gemma":8.045023e-7,"domain_scores_codex":[0.9987389,0.00002322034,0.0006805263,0.0001255876,0.0001869342,0.0002448363],"domain_scores_gemma":[0.9993688,0.00002516783,0.0002494893,0.0001534812,0.0001276178,0.00007539492],"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":[0.0003743527,0.0007251288,0.3646713,0.0004675516,0.001602961,0.00005187139,0.001579941,0.00318927,0.4972685,0.0002629599,0.0176978,0.1121083],"study_design_scores_gemma":[0.01211788,0.01165651,0.031371,0.00161275,0.001306894,0.007302428,0.003341894,0.08023912,0.8003597,0.00299182,0.04568664,0.002013312],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747226,0.01371963,0.01078508,0.000103336,0.0002003179,0.00006122726,0.000002049067,0.00004731967,0.0003584484],"genre_scores_gemma":[0.9858353,0.001226557,0.0128232,0.00001427943,0.00001990538,0.000001079346,9.647142e-7,0.00002161541,0.00005710713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3333003,"threshold_uncertainty_score":0.5603514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01343076142792107,"score_gpt":0.2386052296222391,"score_spread":0.225174468194318,"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."}}