{"id":"W3005693346","doi":"10.5194/acp-21-4187-2021","title":"Tropospheric ozone in CMIP6 simulations","year":2021,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":280,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto","funders":"Japan Society for the Promotion of Science; Horizon 2020 Framework Programme; Serono Symposia International Foundation; Met Office; European Commission; Engineering and Physical Sciences Research Council; New Zealand Government; Environmental Restoration and Conservation Agency","keywords":"Tropospheric ozone; Ozone; Troposphere; Atmospheric sciences; Stratosphere; Environmental science; Climatology; Coupled model intercomparison project; Ozone layer; Atmosphere (unit); Climate model; Climate change; Meteorology; 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":[0.0008949102,0.0009632431,0.0005942168,0.0005685334,0.0006387803,0.0008657512,0.001551489,0.001354479,0.00424024],"category_scores_gemma":[0.002074304,0.0004057925,0.0008400941,0.001407087,0.0003260159,0.0008397844,0.0006463801,0.001208428,0.0006975796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00125638,"about_ca_system_score_gemma":0.0009270815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05278967,"about_ca_topic_score_gemma":0.02000757,"domain_scores_codex":[0.9997159,0.0001068838,0.00001555066,0.00006598032,0.00004445533,0.00005127709],"domain_scores_gemma":[0.9994239,0.0002305681,0.00005321726,0.00007053773,0.0001457093,0.00007613576],"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":[0.0002342665,0.00009359207,0.01275952,0.000111374,0.0001450088,0.0001261443,0.00004816053,0.9744892,0.0006318475,0.001942997,0.006163396,0.003254646],"study_design_scores_gemma":[0.0002348515,0.0000680817,0.007538423,0.00002661735,0.00004743563,0.00002660888,0.0000612405,0.9848062,0.0009776334,0.001213799,0.004970411,0.00002872899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9053061,0.00105243,0.007193382,0.001543946,0.0002948575,0.0001557756,0.05542139,0.001566708,0.02746543],"genre_scores_gemma":[0.9689687,0.0003728902,0.006070573,0.0002340234,0.00006359386,0.000186566,0.02232831,0.0001690332,0.001606332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05278967,"threshold_uncertainty_score":0.1049648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007628160201322255,"score_gpt":0.2072335441031231,"score_spread":0.1996053839018008,"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."}}