{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007162042,0.0001792833,0.0003973015,0.000009754732,0.0003753669,0.0001752823,0.0004079009,0.0001606476,0.002773628],"category_scores_gemma":[0.0007125907,0.000129964,0.0001712232,0.0003299849,0.0004147125,0.0004110789,0.00004860244,0.001070749,0.00008895608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001014352,"about_ca_system_score_gemma":0.0001707351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009321562,"about_ca_topic_score_gemma":0.004919916,"domain_scores_codex":[0.9978071,0.0001549517,0.0004466155,0.0002696194,0.0007284508,0.0005932317],"domain_scores_gemma":[0.9970688,0.001668415,0.0001973007,0.0002301856,0.0004237503,0.0004116078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004941196,0.001013165,0.2213295,0.000186299,0.0007238137,0.0002562314,0.001430355,0.001891172,0.01626945,0.007839192,0.04278671,0.7013329],"study_design_scores_gemma":[0.00243911,0.004566935,0.8107371,0.0001152383,0.0001135955,0.00005931453,0.001969181,0.0284327,0.0009641815,0.127947,0.02214317,0.0005124453],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933756,0.0008614062,0.003114149,0.001361897,0.0005145248,0.0001996728,0.00005584626,0.00001587102,0.0005010145],"genre_scores_gemma":[0.971898,0.0003206497,0.02604076,0.0000861154,0.001207983,0.000003018748,0.00001814083,0.00001024748,0.0004150494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7008204,"threshold_uncertainty_score":0.998138,"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."}}