{"id":"W2769762907","doi":"10.1525/elementa.265","title":"Tropospheric Ozone Assessment Report: Assessment of global-scale model performance for global and regional ozone distributions, variability, and trends","year":2018,"lang":"en","type":"article","venue":"Elementa Science of the Anthropocene","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":498,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Environment Research Council; Scheme for Promotion of Academic and Research Collaboration; NordForsk; Forschungszentrum Jülich; National Oceanic and Atmospheric Administration; Sight Research UK; Engineering and Physical Sciences Research Council; New Zealand Government; Serono Symposia International Foundation; National Science Foundation","keywords":"Tropospheric ozone; Troposphere; Environmental science; Northern Hemisphere; Climatology; Atmospheric sciences; Tropopause; Ozone; Southern Hemisphere; Meteorology; Geography; Geology","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":[0.007972469,0.00161342,0.0007946391,0.0009284238,0.0005510119,0.001217076,0.001934239,0.001144983,0.001663824],"category_scores_gemma":[0.0097201,0.0004081373,0.001570126,0.001680066,0.0002339636,0.001991594,0.0007900564,0.0009860467,0.0007456061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581651,"about_ca_system_score_gemma":0.00244023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1095927,"about_ca_topic_score_gemma":0.053005,"domain_scores_codex":[0.9986473,0.0005266308,0.0000721457,0.0001963281,0.0004811677,0.00007639052],"domain_scores_gemma":[0.9954737,0.001179773,0.0004294896,0.0007683625,0.001947916,0.0002007459],"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":[0.0009693599,0.0006449304,0.1069153,0.000416494,0.00165923,0.0001931935,0.0001464239,0.7420107,0.004086768,0.004402276,0.08574102,0.0528143],"study_design_scores_gemma":[0.0006194605,0.0006290585,0.08153121,0.0001580844,0.0006162727,0.00007112171,0.0002475715,0.8700597,0.008204288,0.00372438,0.03397549,0.0001634948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6010156,0.002938136,0.06558938,0.006691941,0.001009623,0.001310693,0.2812328,0.009574442,0.03063731],"genre_scores_gemma":[0.7831544,0.001138786,0.05421617,0.0005607254,0.0001415132,0.0006845052,0.1553827,0.001141598,0.003579573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1095927,"threshold_uncertainty_score":0.2179096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499902159762662,"score_gpt":0.3075237821505862,"score_spread":0.2925247605529596,"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."}}