{"id":"W3092964437","doi":"10.1525/elementa.2020.034","title":"Tropospheric Ozone Assessment Report","year":2020,"lang":"en","type":"article","venue":"Elementa Science of the Anthropocene","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":248,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Environment Research Council; Engineering and Physical Sciences Research Council; Jet Propulsion Laboratory; National Natural Science Foundation of China; European Commission; Division of Atmospheric and Geospace Sciences; Sight Research UK; California Institute of Technology; National Aeronautics and Space Administration; National Science Foundation","keywords":"Tropospheric ozone; Troposphere; Ozone; Coupled model intercomparison project; Environmental science; Atmospheric sciences; Climatology; Climate model; Climate change; Atmospheric chemistry; Meteorology; Geography; Geology; Oceanography","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":[0.0003643881,0.0001127948,0.0001549993,0.000002707018,0.0004206821,0.0000453864,0.0008673381,0.00002008993,0.006910968],"category_scores_gemma":[0.00006536538,0.00007247236,0.00007098388,0.000907157,0.001227703,0.0002576411,0.00008935759,0.0001084569,0.00002575246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001177137,"about_ca_system_score_gemma":0.000272583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002858311,"about_ca_topic_score_gemma":0.00001128896,"domain_scores_codex":[0.9983187,0.00001839437,0.0003063174,0.0003396192,0.0007093931,0.0003075819],"domain_scores_gemma":[0.9991971,0.00001746024,0.0002292955,0.0003431556,0.00005344851,0.0001595813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002077596,0.00005976019,0.9381741,0.0000316098,0.00001925339,0.00003583122,0.0001659985,0.001841234,0.04962862,0.00007839988,0.003044044,0.006900323],"study_design_scores_gemma":[0.0005723107,0.0003430106,0.683322,0.00003502042,0.00003762181,0.00008184441,0.001336214,0.0112231,0.2983189,0.0003392508,0.004016543,0.0003741651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698362,0.0001064768,0.0005790878,0.00621334,0.0004168009,0.0001722079,0.00001977648,0.0000289051,0.02262725],"genre_scores_gemma":[0.9937508,0.00002634706,0.005542516,0.0004455129,0.00009502377,4.839997e-7,0.000007675735,0.000002257146,0.0001293845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2548521,"threshold_uncertainty_score":0.9939969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652576672707426,"score_gpt":0.2639033852102277,"score_spread":0.2473776184831534,"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."}}