{"id":"W4399295934","doi":"10.1029/2023ef003941","title":"Projecting Changes in the Frequency and Magnitude of Ozone Pollution Events Under Uncertain Climate Sensitivity","year":2024,"lang":"en","type":"article","venue":"Earth s Future","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Oak Ridge Institute for Science and Education","keywords":"Climate sensitivity; Climate change; Environmental science; Greenhouse gas; Climate model; Ozone; Sensitivity (control systems); Climatology; Air quality index; Magnitude (astronomy); Climate commitment; Atmospheric sciences; Air pollution; Global warming; Meteorology; Effects of global warming; Geography; Ecology; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008587594,0.0003855193,0.0002603341,0.0003963022,0.0003103456,0.0007926728,0.0006047437,0.0009559136,0.0009766518],"category_scores_gemma":[0.002281307,0.0003908437,0.0007982901,0.0005821596,0.0003987436,0.001002657,0.0007197751,0.0008113447,0.00007926244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022924,"about_ca_system_score_gemma":0.0007561759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05126415,"about_ca_topic_score_gemma":0.02761817,"domain_scores_codex":[0.9997266,0.0001263997,0.00001443388,0.00006102225,0.00002494137,0.00004667],"domain_scores_gemma":[0.9992724,0.0003456436,0.0001224406,0.00008493129,0.00008406262,0.00009050222],"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":[0.0000473049,0.00003946698,0.03584806,0.00001116365,0.00006278331,0.00005373589,0.00002549687,0.9612203,0.0006013375,0.0007738518,0.0001689462,0.001147559],"study_design_scores_gemma":[0.00001706952,0.00005653869,0.02010626,0.000005959998,0.00003451773,0.00001490313,0.0000750227,0.9778119,0.0005828452,0.001055,0.0002199592,0.0000200032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935299,0.00003113432,0.004202859,0.0002112114,0.00001100692,0.000009540053,0.0008821307,0.00004155511,0.001080646],"genre_scores_gemma":[0.9985741,0.00002635051,0.0009893141,0.00001684425,0.00000318621,0.000005997223,0.0002925142,0.000003951384,0.00008772664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05126415,"threshold_uncertainty_score":0.1019316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139307214938989,"score_gpt":0.2327590334322724,"score_spread":0.2188283119383735,"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."}}