{"id":"W1898152145","doi":"10.1002/jgrd.50216","title":"Impact of model errors in convective transport on CO source estimates inferred from MOPITT CO retrievals","year":2013,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; National Oceanic and Atmospheric Administration; National Aeronautics and Space Administration","keywords":"Troposphere; Environmental science; Chemical transport model; Atmospheric sciences; Inversion (geology); Trace gas; Climatology; Carbon monoxide; Convection; Meteorology; Geology; Chemistry; Geography; Structural basin","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006028668,0.001553176,0.0007807022,0.0005848255,0.0008481757,0.001480383,0.001398098,0.001140084,0.0006027084],"category_scores_gemma":[0.01747041,0.0008370386,0.001388187,0.0009434839,0.0007531497,0.001559897,0.0009738745,0.001086982,0.0002482393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002493844,"about_ca_system_score_gemma":0.002187304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1018732,"about_ca_topic_score_gemma":0.03636076,"domain_scores_codex":[0.9972729,0.0009153043,0.0003651906,0.0007626325,0.000439119,0.0002447903],"domain_scores_gemma":[0.9887584,0.006294393,0.00125728,0.001576432,0.001898173,0.0002152204],"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":[0.0007190671,0.000168501,0.09125604,0.0001017578,0.0005643482,0.0001740517,0.0001348035,0.8847935,0.01159723,0.0005346015,0.0006698599,0.009286297],"study_design_scores_gemma":[0.0001882754,0.0001273156,0.05111387,0.00004336522,0.000185458,0.00005618768,0.00007274036,0.9340867,0.01306173,0.00034557,0.0006344233,0.0000843259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842064,0.0004367376,0.01133477,0.0004871043,0.0001628672,0.00005401822,0.001162367,0.0007690593,0.0013867],"genre_scores_gemma":[0.9961544,0.00008129497,0.002586843,0.00009105786,0.00001349172,0.0000212859,0.0007355098,0.0001247673,0.0001912754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1018732,"threshold_uncertainty_score":0.2025604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721388253014746,"score_gpt":0.3300828319884407,"score_spread":0.3028689494582933,"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."}}