{"id":"W4316465429","doi":"10.5194/acp-23-637-2023","title":"Arctic tropospheric ozone: assessment of current knowledge and model performance","year":2023,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Oak Ridge National Laboratory; Japan Society for the Promotion of Science; Natural Environment Research Council; Office of Science; Energistyrelsen; Miljøstyrelsen; National Aeronautics and Space Administration; Environmental Restoration and Conservation Agency; Naturvårdsverket; Nordisk Ministerråd; Sight Research UK; National Oceanic and Atmospheric Administration; Grand Équipement National De Calcul Intensif; Aarhus Universitet; U.S. Department of Energy","keywords":"Environmental science; Troposphere; The arctic; Climatology; Arctic; Current (fluid); Atmospheric sciences; Tropospheric ozone; Ozone; Meteorology; Geography; Oceanography; 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":[0.003490304,0.0009390278,0.0009811817,0.001061263,0.000538242,0.001706712,0.001493945,0.00100723,0.001113379],"category_scores_gemma":[0.005721793,0.000344622,0.00113998,0.001145609,0.000219997,0.001607476,0.0007412516,0.0008115844,0.0003803126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001798117,"about_ca_system_score_gemma":0.00166046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09007933,"about_ca_topic_score_gemma":0.04419762,"domain_scores_codex":[0.9994049,0.0002045479,0.00004745418,0.0001436472,0.000150225,0.00004925596],"domain_scores_gemma":[0.997565,0.001108161,0.0002037998,0.0002933668,0.00070284,0.0001268698],"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":[0.0005503482,0.0002453028,0.04869486,0.000498211,0.0008868285,0.00009934816,0.00006946567,0.897893,0.001257671,0.001079286,0.005209807,0.04351586],"study_design_scores_gemma":[0.00007654759,0.0001611955,0.01776116,0.0001352524,0.0002372925,0.00003357474,0.00006899714,0.9744274,0.002289448,0.001021197,0.003741317,0.00004648561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9281712,0.01704491,0.01712242,0.001702788,0.0003935601,0.00007511184,0.0172685,0.003484471,0.01473706],"genre_scores_gemma":[0.9687209,0.00346731,0.01297104,0.0001373749,0.00009274051,0.00004401368,0.01367426,0.0001785465,0.0007137968],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.09007933,"threshold_uncertainty_score":0.1791101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157982737694767,"score_gpt":0.2545544392608584,"score_spread":0.2387561654913817,"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."}}