{"id":"W2810963783","doi":"10.5194/acp-18-16155-2018","title":"Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model","year":2018,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Marsden Fund; Australian Research Council; Serono Symposia International Foundation; Scheme for Promotion of Academic and Research Collaboration; Bundesministerium für Bildung und Forschung; Department for Environment, Food and Rural Affairs, UK Government; Sight Research UK; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Met Office; Australian Government; Deutsches Klimarechenzentrum; Ministry of Business, Innovation and Employment; Natural Environment Research Council; New Zealand Government","keywords":"Tropospheric ozone; Ozone; Atmospheric sciences; Troposphere; Atmospheric chemistry; Microwave Limb Sounder; Stratosphere; Climatology; Northern Hemisphere; Trace gas; Ozone layer; NOx; Chemistry; Climate model; Environmental science; Meteorology; Climate change; Geology; Geography","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":[0.002347261,0.0009739297,0.0007454545,0.0006240294,0.0006758455,0.0008636206,0.002063136,0.001091973,0.002039113],"category_scores_gemma":[0.004976033,0.0004211969,0.00151208,0.001104713,0.0004063497,0.0008056996,0.0009849403,0.001476523,0.0002048799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002159497,"about_ca_system_score_gemma":0.001783212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1314079,"about_ca_topic_score_gemma":0.04933545,"domain_scores_codex":[0.9994704,0.0002190257,0.00002673664,0.00008980356,0.00009048511,0.0001036007],"domain_scores_gemma":[0.9978904,0.001300685,0.0001717425,0.0001960512,0.0003437464,0.00009727701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009031837,0.0000629569,0.009475011,0.00005385893,0.0001448881,0.00004257428,0.00002812649,0.9843644,0.001053235,0.001632082,0.0009093208,0.002143151],"study_design_scores_gemma":[0.00004990591,0.00002246282,0.002443427,0.000005634819,0.00002294521,0.000005365359,0.00001519313,0.9951941,0.001162424,0.0004951369,0.0005678957,0.00001542689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9494656,0.0003784861,0.02987847,0.0008401716,0.0001395099,0.0001682795,0.009632426,0.001457449,0.008039601],"genre_scores_gemma":[0.9873363,0.00007682828,0.008029042,0.0001811919,0.00002449279,0.0001277905,0.003435318,0.0002122647,0.0005767306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1314079,"threshold_uncertainty_score":0.2612861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02400515778868632,"score_gpt":0.2510356945653226,"score_spread":0.2270305367766363,"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."}}