{"id":"W4205769579","doi":"10.54302/mausam.v54i1.1489","title":"Atmospheric sounding using GPS radio occultation","year":2003,"lang":"en","type":"article","venue":"MAUSAM","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intertek (Canada)","funders":"Office of Naval Research; U.S. Air Force; Jet Propulsion Laboratory; National Space Organization; National Oceanic and Atmospheric Administration; National Science Council; University Corporation for Atmospheric Research; U.S. Navy; National Aeronautics and Space Administration; National Science Foundation","keywords":"Radio occultation; Global Positioning System; Occultation; Troposphere; Ionosphere; Depth sounding; Remote sensing; Environmental science; COSMIC cancer database; Meteorology; Atmospheric sounding; Geodesy; Geology; Geography; Physics; Geophysics; Astronomy; Computer science; Telecommunications","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":[0.0002627256,0.0005090791,0.0003099712,0.002310599,0.000286085,0.000794588,0.0004061433,0.0002548669,0.003535112],"category_scores_gemma":[0.0008692067,0.0001784831,0.0003107186,0.002314939,0.0001531383,0.0005378023,0.0004406392,0.0003464488,0.0014183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003912988,"about_ca_system_score_gemma":0.0003412965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01603173,"about_ca_topic_score_gemma":0.01884118,"domain_scores_codex":[0.9996415,0.00005135956,0.00001191801,0.00008376502,0.000181328,0.00003003266],"domain_scores_gemma":[0.9996979,0.0000508969,0.00004149221,0.00007039067,0.00012657,0.00001283441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002310655,0.00005941948,0.05294272,0.000342945,0.0002138738,0.0002021437,0.0003362387,0.02773147,0.06181452,0.002013082,0.01176954,0.8423432],"study_design_scores_gemma":[0.000219569,0.0005069479,0.3343799,0.0002700169,0.0005707348,0.0008277271,0.0004442491,0.3516155,0.1045932,0.002979302,0.2032024,0.0003905356],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.486104,0.006644947,0.3619492,0.0003990874,0.0008220389,0.0003042944,0.01468898,0.02766355,0.1014239],"genre_scores_gemma":[0.8169578,0.001989643,0.162561,0.0001233678,0.0002849684,0.000076066,0.008256175,0.0005732992,0.009177845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01603173,"threshold_uncertainty_score":0.03187686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104691108772988,"score_gpt":0.2376947538522707,"score_spread":0.2266478427645408,"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."}}