{"id":"W2096455763","doi":"10.5194/acp-15-11773-2015","title":"Sensitivity analysis of the potential impact of discrepancies in stratosphere–troposphere exchange on inferred sources and sinks of CO <sub>2</sub>","year":2015,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Environment and Climate Change Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Goddard Space Flight Center; Tekes; Centre National d’Etudes Spatiales; National Aeronautics and Space Administration; California Institute of Technology; Canadian Space Agency; Jet Propulsion Laboratory","keywords":"Stratosphere; Troposphere; Atmospheric sciences; Climatology; Environmental science; Tropopause; Ozone; Chemical transport model; Quasi-biennial oscillation; Arctic; Subtropics; Physics; Meteorology; Geology; Oceanography","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":[0.004956299,0.0008717909,0.0004062024,0.0006144128,0.0005062551,0.001013968,0.0007932388,0.001249455,0.001001973],"category_scores_gemma":[0.01448314,0.0004918482,0.001239712,0.0005409668,0.0006104026,0.0007343433,0.0008539024,0.0009831238,0.0001164729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424755,"about_ca_system_score_gemma":0.0004837773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02000564,"about_ca_topic_score_gemma":0.006921492,"domain_scores_codex":[0.9983824,0.001036099,0.00008380853,0.0002570228,0.0001397332,0.0001009326],"domain_scores_gemma":[0.9765847,0.02075192,0.0007489765,0.0009963746,0.0006703137,0.0002476395],"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":[0.001063738,0.0001477545,0.07233046,0.00008310645,0.000694314,0.0002549796,0.00005862462,0.911723,0.0095727,0.0005161135,0.0003754745,0.003179733],"study_design_scores_gemma":[0.0001794189,0.0004624919,0.09055976,0.00002705407,0.0004986202,0.0001062186,0.000161584,0.8876672,0.01860358,0.0009067506,0.000742708,0.0000845828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942307,0.0001359128,0.003448348,0.0001895725,0.00002912506,0.00003697456,0.0008038366,0.0001342782,0.0009912242],"genre_scores_gemma":[0.9987878,0.00001439153,0.0008012193,0.00004067738,0.000005058557,0.000009501688,0.0002675348,0.00001491812,0.00005896068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02000564,"threshold_uncertainty_score":0.03977841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005533422198180154,"score_gpt":0.2070485292550057,"score_spread":0.2015151070568256,"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."}}