{"id":"W2029631528","doi":"10.1029/2009jd012918","title":"High‐resolution tropospheric ozone fields for INTEX and ARCTAS from IONS ozonesondes","year":2010,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Environment and Climate Change Canada","funders":"National Oceanic and Atmospheric Administration; Centre National de la Recherche Scientifique; Los Alamos National Laboratory; European Commission; Valparaiso University; California Air Resources Board; Strong; National Aeronautics and Space Administration; Centre National d’Etudes Spatiales; U.S. Department of Energy","keywords":"Troposphere; Depth sounding; Tropospheric ozone; Total Ozone Mapping Spectrometer; Ozone; Trajectory; Environmental science; Smoothing; Meteorology; Stratosphere; Sounding rocket; Atmospheric sciences; Ozone layer; Geology; Physics; Computer science; Astronomy","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":[0.0002507319,0.0003935656,0.0002382823,0.001193006,0.0002703433,0.0003793404,0.000363903,0.000240922,0.003446484],"category_scores_gemma":[0.0004729653,0.0001830972,0.0003446133,0.001814302,0.00009875716,0.0003594459,0.0003162695,0.0003849302,0.0007205067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004209446,"about_ca_system_score_gemma":0.0006612474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03869281,"about_ca_topic_score_gemma":0.06490199,"domain_scores_codex":[0.9998903,0.00001084411,0.000007334608,0.00002232704,0.00004866675,0.00002042613],"domain_scores_gemma":[0.9997692,0.00003207434,0.00005581081,0.00005077088,0.00006547709,0.00002681432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002819447,0.0009017971,0.4977833,0.0007825965,0.001046025,0.0009258369,0.0009208617,0.1113382,0.09424543,0.004672159,0.116994,0.1675704],"study_design_scores_gemma":[0.0002365152,0.00008617288,0.9184235,0.00003644932,0.0001179668,0.0001066259,0.0002016367,0.02269092,0.02045999,0.000582984,0.03700929,0.00004781807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7890356,0.0001419457,0.005733183,0.0001761644,0.00003930004,0.0001342912,0.1889279,0.002676189,0.01313534],"genre_scores_gemma":[0.7304933,0.0001759353,0.02771322,0.00007675431,0.00003088384,0.0002220138,0.2379044,0.0004393937,0.002944096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03869281,"threshold_uncertainty_score":0.07693517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02481953543962747,"score_gpt":0.2927650674912858,"score_spread":0.2679455320516583,"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."}}