{"id":"W4407798177","doi":"10.5194/acp-25-2243-2025","title":"Assessing the relative impacts of satellite ozone and its precursor observations to improve global tropospheric ozone analysis using multiple chemical reanalysis systems","year":2025,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Japan Society for the Promotion of Science; Environmental Restoration and Conservation Agency; National Aeronautics and Space Administration","keywords":"Ozone; Tropospheric ozone; Satellite; Environmental science; Troposphere; Atmospheric sciences; Climatology; Meteorology; Geology; Geography","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":[0.005654342,0.0007446393,0.0004164739,0.000451923,0.0003125452,0.0007692541,0.0004856854,0.0004085203,0.0002772807],"category_scores_gemma":[0.00486047,0.0002543239,0.0007352845,0.0005805278,0.0002005549,0.0009777956,0.0007511417,0.0004369252,0.00007592163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005853703,"about_ca_system_score_gemma":0.0008420632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02008233,"about_ca_topic_score_gemma":0.0266741,"domain_scores_codex":[0.998695,0.0004769339,0.0001060325,0.0002925618,0.0003512579,0.00007824094],"domain_scores_gemma":[0.9973382,0.0009169986,0.0002958954,0.0003786037,0.0009487201,0.0001214332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001402919,0.0006947785,0.6696306,0.0003765434,0.001865833,0.0001203938,0.000200233,0.1184904,0.109907,0.0004515637,0.001174917,0.09568483],"study_design_scores_gemma":[0.0002090948,0.001157081,0.7340291,0.00004708042,0.0007087037,0.00002834936,0.0001423361,0.2129746,0.04767764,0.0002228942,0.002734771,0.0000683926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907157,0.0004814655,0.006898201,0.000139541,0.00005105752,0.00008516638,0.0006534923,0.0001422911,0.0008330378],"genre_scores_gemma":[0.9828705,0.0001331551,0.01579701,0.00006416511,0.00001664895,0.00004820869,0.0008588115,0.00002180347,0.0001896452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02008233,"threshold_uncertainty_score":0.03993088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165798685924713,"score_gpt":0.2630301213481293,"score_spread":0.246450252755658,"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."}}