{"id":"W4311517397","doi":"10.5194/acp-22-15333-2022","title":"The historical ozone trends simulated with the SOCOLv4 and their comparison with observations and reanalyses","year":2022,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centro Svizzero di Calcolo Scientifico; Ministry of Science and Higher Education of the Russian Federation; China Scholarship Council; Eidgenössische Technische Hochschule Zürich; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Ozone; Stratosphere; Tropospheric ozone; Atmospheric sciences; Montreal Protocol; Ozone layer; Environmental science; Climatology; Ozone depletion; NOx; Troposphere; Meteorology; Chemistry; Geography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006738346,0.0005406471,0.0002743911,0.000790003,0.0002948795,0.0005649905,0.0007974914,0.000500067,0.001305977],"category_scores_gemma":[0.00115238,0.0002680889,0.0007519514,0.001240681,0.0002187462,0.0005344371,0.0003318467,0.0004465865,0.0002702124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001342027,"about_ca_system_score_gemma":0.00110945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1047693,"about_ca_topic_score_gemma":0.06506284,"domain_scores_codex":[0.9998322,0.00003562448,0.00001269053,0.00004245855,0.00003933235,0.00003781191],"domain_scores_gemma":[0.9996711,0.00005669322,0.00005325876,0.00005352047,0.0001236788,0.00004173103],"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":[0.0004788515,0.0002202921,0.2149692,0.0001624614,0.0005132442,0.0001634234,0.0001548611,0.7561768,0.004272345,0.001506683,0.006231415,0.0151504],"study_design_scores_gemma":[0.0002541819,0.0001215975,0.1238721,0.00002537115,0.0001228786,0.00003718241,0.0001245964,0.860792,0.004745672,0.0007231357,0.009130058,0.00005129113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852846,0.0001099965,0.001818406,0.0001115759,0.00006118703,0.00002821248,0.00963358,0.000412931,0.002539484],"genre_scores_gemma":[0.9837072,0.00007596774,0.003009973,0.00002940067,0.00001382584,0.00004950524,0.01254863,0.00006122825,0.0005041003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1047693,"threshold_uncertainty_score":0.2083189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661125232097706,"score_gpt":0.2061728166871508,"score_spread":0.1895615643661737,"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."}}