{"id":"W2171999335","doi":"10.5194/acp-7-3571-2007","title":"Impact of using different ozone cross sections on ozone profile retrievals from Global Ozone Monitoring Experiment (GOME) ultraviolet measurements","year":2007,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Aeronautics and Space Administration; Smithsonian Institution","keywords":"Ozone; Total Ozone Mapping Spectrometer; Tropospheric ozone; Troposphere; Ultraviolet; Atmospheric sciences; Environmental science; Remote sensing; Meteorology; Ozone layer; Physics; Geology; Optics","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":[0.003210613,0.001195622,0.0004272871,0.0006140958,0.0004328466,0.0007641554,0.0005431696,0.0008546432,0.0003861063],"category_scores_gemma":[0.004889431,0.0004981143,0.001153651,0.0006794895,0.0003120611,0.001052999,0.0009715974,0.0005559278,0.0001274974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005354694,"about_ca_system_score_gemma":0.0003649129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00884338,"about_ca_topic_score_gemma":0.008969778,"domain_scores_codex":[0.9989691,0.0003582074,0.00007469313,0.0001969631,0.0002895501,0.0001116183],"domain_scores_gemma":[0.9965486,0.002280838,0.0003522554,0.0003580723,0.0003837419,0.00007655776],"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":[0.004058169,0.0008360277,0.3445362,0.0004271203,0.002697582,0.0004393031,0.0001907293,0.2219678,0.3673788,0.0003682668,0.0009624929,0.05613746],"study_design_scores_gemma":[0.0004034608,0.001674546,0.4170292,0.00006585664,0.001147846,0.0002932783,0.0001389056,0.2231398,0.3538064,0.0002758761,0.001838994,0.0001857162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922909,0.0003764208,0.006294005,0.00004506153,0.00001986274,0.00002600372,0.000365853,0.0001636657,0.0004181885],"genre_scores_gemma":[0.9883598,0.0002092292,0.009475145,0.0001160647,0.00001373329,0.00003995566,0.001557778,0.00008868305,0.000139505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00884338,"threshold_uncertainty_score":0.01758385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03206506145000945,"score_gpt":0.305050659701304,"score_spread":0.2729855982512945,"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."}}