{"id":"W4414555866","doi":"10.5194/essd-17-4901-2025","title":"Observational ozone datasets over the global oceans and polar regions (version 2024)","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Environment and Climate Change Canada","funders":"JST-Mirai Program; National Oceanic and Atmospheric Administration; Marine National Facility; Swiss Polar Institute; Environment and Climate Change Canada; Ferring Pharmaceuticals; National Aeronautics and Space Administration; Japan Agency for Marine-Earth Science and Technology; Natural Environment Research Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Japan Society for the Promotion of Science; Commonwealth Scientific and Industrial Research Organisation; Horizon 2020; National Center for Atmospheric Research; National Science Foundation","keywords":"Polar; Ozone; Troposphere; Tropospheric ozone; Ozone depletion; Altitude (triangle)","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":[0.0009688904,0.001220706,0.000828777,0.002345417,0.0003896817,0.0008257684,0.00121073,0.000968882,0.004688164],"category_scores_gemma":[0.001423656,0.0004702476,0.0009350255,0.006828277,0.0002057569,0.0006403936,0.001113139,0.0008271447,0.003880401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007504863,"about_ca_system_score_gemma":0.001820643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07877812,"about_ca_topic_score_gemma":0.07633624,"domain_scores_codex":[0.9993472,0.0001002799,0.00009138822,0.0001710409,0.0001733123,0.0001168227],"domain_scores_gemma":[0.9987649,0.0001268106,0.0002283084,0.0002197757,0.000535254,0.0001249105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007689503,0.0003201411,0.1322148,0.003753564,0.001519235,0.0003895962,0.0002328425,0.009457064,0.00596222,0.001849853,0.8144798,0.02905191],"study_design_scores_gemma":[0.0006279816,0.00013208,0.5356033,0.0004766653,0.0002951193,0.0001443007,0.000406628,0.004789814,0.004016557,0.0008754605,0.4525381,0.000093977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0056387,0.0001214987,0.000194427,0.00003627087,0.00002737571,0.0000298553,0.9932834,0.0001464794,0.0005219231],"genre_scores_gemma":[0.004812725,0.00005864113,0.0004803689,0.00002409378,0.000008048003,0.00006821298,0.9943206,0.0000136187,0.0002136625],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07877812,"threshold_uncertainty_score":0.1566392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03462938837562712,"score_gpt":0.269642715451216,"score_spread":0.2350133270755889,"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."}}