{"id":"W4281481428","doi":"10.5194/acp-22-6843-2022","title":"Global total ozone recovery trends attributed to ozone-depleting substance (ODS) changes derived from five merged ozone datasets","year":2022,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Universität Bremen; Bundesministerium für Bildung und Forschung; Freie Hansestadt Bremen; National Aeronautics and Space Administration","keywords":"SCIAMACHY; Ozone; Environmental science; Satellite; Atmospheric sciences; Meteorology; Ground Level Ozone; Climatology; Troposphere; Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001939999,0.0004148545,0.0004995023,3.959952e-7,0.0006686161,0.00009244255,0.0003905001,0.00009562524,0.01246812],"category_scores_gemma":[0.00002573723,0.0004394044,0.000104497,0.0009967207,0.0000806551,0.000217431,0.0001233961,0.0002845684,0.00006530956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005123816,"about_ca_system_score_gemma":0.00005420835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004913302,"about_ca_topic_score_gemma":0.0008157186,"domain_scores_codex":[0.9976097,0.000101851,0.0003340619,0.000818927,0.0004715745,0.0006639396],"domain_scores_gemma":[0.9987904,0.0001506079,0.0002015843,0.0004897659,0.00003771619,0.0003299419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001234483,0.0003195723,0.1327674,0.0001200826,0.000527793,0.000236549,0.001272583,0.04970964,0.006652634,0.00000890501,0.0186971,0.7884532],"study_design_scores_gemma":[0.006947902,0.001642657,0.7214268,0.0001992566,0.0008880113,0.0002772021,0.007967366,0.1380243,0.005800209,0.002101231,0.1086826,0.006042498],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871659,0.001393909,0.0008560109,0.0003630845,0.0002697383,0.0001359523,0.008119321,0.0001301512,0.001565975],"genre_scores_gemma":[0.9761029,0.0003166628,0.01079763,0.0007873641,0.0005296309,0.00002723708,0.009480373,0.00002468274,0.001933446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7824107,"threshold_uncertainty_score":0.9998057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023685295172883,"score_gpt":0.213378825762858,"score_spread":0.2031419728111291,"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."}}