{"id":"W2113821933","doi":"10.1029/2007jd008779","title":"Evaluation of ozone total column measurements by the Ozone Monitoring Instrument using a data assimilation system","year":2008,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Ozone Monitoring Instrument; Total Ozone Mapping Spectrometer; Ozone; Environmental science; Data assimilation; Satellite; Meteorology; Atmospheric sciences; Column (typography); Remote sensing; Ozone layer; Geography; Mathematics; Geology; Physics","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":[0.003495223,0.0006408799,0.0006556426,0.0004465524,0.0006179293,0.0008341745,0.0006763454,0.0007783255,0.0003963394],"category_scores_gemma":[0.005886798,0.000407267,0.0005507494,0.0006154551,0.0002841262,0.0008823407,0.0007437596,0.0005493152,0.0001111814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009372043,"about_ca_system_score_gemma":0.0008971227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0212336,"about_ca_topic_score_gemma":0.01942973,"domain_scores_codex":[0.9985074,0.0005530515,0.0001108534,0.0002850571,0.0004588904,0.00008473008],"domain_scores_gemma":[0.9980237,0.0007096173,0.0002119407,0.0003123448,0.00066852,0.00007392094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00339398,0.00137808,0.2024049,0.0003039392,0.00110067,0.0002303505,0.0003515084,0.6020761,0.09046715,0.001865563,0.002829812,0.09359801],"study_design_scores_gemma":[0.000320891,0.0007618769,0.1087011,0.00002493803,0.0001402329,0.0000426098,0.0001046449,0.8576264,0.03057299,0.000297342,0.001348806,0.00005817197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863555,0.0001099985,0.01049576,0.0001022719,0.00003598805,0.0001292754,0.0009097956,0.000370296,0.001491194],"genre_scores_gemma":[0.9774922,0.00004373132,0.02056913,0.00004427484,0.0000102216,0.00008586045,0.001510176,0.00004630601,0.000198235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0212336,"threshold_uncertainty_score":0.04222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2958393485448322,"score_gpt":0.375161108527073,"score_spread":0.07932175998224078,"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."}}