{"id":"W2941297605","doi":"10.5194/amt-12-5263-2019","title":"TROPOMI/S5P total ozone column data: global ground-based validation and consistency with other satellite missions","year":2019,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":185,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"European Organization for the Exploitation of Meteorological Satellites; Centre National d’Etudes Spatiales; Centre National de la Recherche Scientifique; European Cooperation in Science and Technology; European Space Agency; National Aeronautics and Space Administration","keywords":"Zenith; Environmental science; Albedo (alchemy); Solar zenith angle; Satellite; Remote sensing; Troposphere; Differential optical absorption spectroscopy; Ozone; Tropospheric ozone; Meteorology; Atmospheric sciences; Absorption (acoustics); Geography; Geology; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006835702,0.0003051166,0.0003500592,0.000002696001,0.0002039962,0.0001557162,0.0003209314,0.0001171464,0.001825858],"category_scores_gemma":[0.00003203274,0.0002337347,0.00004597553,0.0003616589,0.0001506832,0.0004726473,0.0000370769,0.0001301668,0.0001152705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000454664,"about_ca_system_score_gemma":0.0002017994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003609338,"about_ca_topic_score_gemma":0.001090944,"domain_scores_codex":[0.9976507,0.0001329165,0.0003699618,0.0006444135,0.0007825778,0.0004194656],"domain_scores_gemma":[0.9986669,0.00005031145,0.0002005147,0.0007535404,0.0001440607,0.0001846076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002414131,0.0001158329,0.9042342,0.00009353756,0.0001033682,0.00001084414,0.00004676992,0.0001113154,0.0006411332,0.0001412002,0.0008694461,0.0933909],"study_design_scores_gemma":[0.002960325,0.003496576,0.8529063,0.0006594039,0.0004761671,0.0001588186,0.001041123,0.0170097,0.002435907,0.0009434189,0.1157623,0.002149938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9349318,0.00390405,0.01716733,0.0006551107,0.0002883651,0.001980583,0.0001826665,0.0008536901,0.04003645],"genre_scores_gemma":[0.9020076,0.0001791528,0.09676416,0.0005165304,0.00005961959,0.00001117045,0.0001560507,0.0000161675,0.0002895467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1148928,"threshold_uncertainty_score":0.9990866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03111706640318394,"score_gpt":0.2360114749762821,"score_spread":0.2048944085730982,"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."}}