{"id":"W2068189041","doi":"10.1029/2009jd013005","title":"The MOPITT version 4 CO product: Algorithm enhancements, validation, and long‐term stability","year":2010,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":176,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; National Oceanic and Atmospheric Administration; Goddard Space Flight Center; National Aeronautics and Space Administration; National Center for Atmospheric Research; National Science Foundation","keywords":"Troposphere; Environmental science; Radiative transfer; Satellite; Meteorology; Carbon monoxide; Atmospheric radiative transfer codes; Atmospheric sciences; Remote sensing; In situ; Chemistry; Geology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001455464,0.0001437372,0.0001768501,0.000002415086,0.0005913381,0.0001234336,0.0004849916,0.00005833994,0.001098337],"category_scores_gemma":[0.0002830818,0.00009157347,0.00007899899,0.0002111519,0.001404674,0.0004209749,0.0003692014,0.0008991527,0.0001336571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001778089,"about_ca_system_score_gemma":0.00004129759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001811874,"about_ca_topic_score_gemma":0.00004243159,"domain_scores_codex":[0.9974081,0.00018803,0.0003423396,0.0002703782,0.001333033,0.0004581081],"domain_scores_gemma":[0.9987832,0.0003521711,0.0001698649,0.0003476198,0.00006170191,0.000285389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002894696,0.0007378769,0.4446674,0.00002001098,0.00007198808,0.00003502713,0.0003970195,0.0002001254,0.06944581,0.0001056349,0.003305868,0.4807238],"study_design_scores_gemma":[0.0005766081,0.0006188765,0.9702898,0.00001604578,0.0000175302,0.00003087592,0.00032412,0.001758243,0.01323011,0.002341843,0.0106151,0.0001809005],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996954,0.00008351375,0.001435405,0.0005133015,0.0001824865,0.0002228683,0.000001845619,0.000006395646,0.0006001657],"genre_scores_gemma":[0.9900962,0.0004673238,0.007973057,0.00002495761,0.0002485584,0.000007080843,0.000001619412,0.00001627782,0.001164989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5256224,"threshold_uncertainty_score":0.9998148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490094874363024,"score_gpt":0.2922326368763502,"score_spread":0.27733168813272,"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."}}