{"id":"W4407666549","doi":"10.5194/egusphere-2025-306","title":"Extension of the S5P-TROPOMI CCD tropospheric ozone retrieval to mid-latitudes","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Bundesministerium für Wirtschaft und Energie","keywords":"Latitude; Ozone; Environmental science; Troposphere; Tropospheric ozone; Extension (predicate logic); High latitude; Remote sensing; Atmospheric sciences; Meteorology; Geography; Computer science; Geology; Geodesy","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":[0.0003684252,0.000323707,0.0003503312,0.0005231427,0.0003238645,0.0005769166,0.0005057495,0.0002689235,0.001599564],"category_scores_gemma":[0.0003916294,0.0002006275,0.0004996341,0.0006587364,0.0000901811,0.0002499286,0.0004205516,0.0003055277,0.0005206401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005126777,"about_ca_system_score_gemma":0.001185569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05695315,"about_ca_topic_score_gemma":0.07997426,"domain_scores_codex":[0.9998481,0.00001481633,0.000006645737,0.00005267582,0.00005002647,0.00002759904],"domain_scores_gemma":[0.999841,0.00001034096,0.00001147808,0.00002959128,0.00008309542,0.00002460345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001595538,0.0006527405,0.1734006,0.000484018,0.0006834304,0.000682378,0.000354534,0.1000243,0.3905575,0.001840727,0.02211091,0.3076133],"study_design_scores_gemma":[0.0003187401,0.0002665572,0.2997723,0.00003791023,0.0001358173,0.0002237846,0.0000933124,0.6385153,0.04223628,0.0003222378,0.01799735,0.00008043318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9081749,0.001002572,0.05138372,0.0002642613,0.0001570326,0.0003134519,0.01893771,0.003443202,0.01632328],"genre_scores_gemma":[0.8792168,0.000145516,0.1050806,0.00008141582,0.00003376158,0.0001209886,0.01338969,0.0001117275,0.00181942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05695315,"threshold_uncertainty_score":0.1132433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558003284842727,"score_gpt":0.2409504337385758,"score_spread":0.2253704008901485,"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."}}