{"id":"W2508101882","doi":"10.5194/acp-2016-699","title":"Ten years of atmospheric methane from ground-based NDACC FTIRobservations","year":2016,"lang":"en","type":"article","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Université de Liège; University of Toronto; Belgian Federal Science Policy Office; Canadian Foundation for Climate and Atmospheric Sciences; U.S. Department of Energy; Fonds De La Recherche Scientifique - FNRS; National Oceanic and Atmospheric Administration; Nova Scotia Research Innovation Trust; National Aeronautics and Space Administration","keywords":"Atmospheric methane; Methane; Environmental science; Atmospheric sciences; Biomass burning; Northern Hemisphere; Sink (geography); Climatology; Meteorology; Chemistry; Geology; Geography; Aerosol","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":[0.00008421591,0.0001216921,0.0001532964,0.00000123721,0.00003105865,0.00000547467,0.0002520386,0.00006815417,0.01249873],"category_scores_gemma":[0.00002117339,0.00008804547,0.00007576428,0.0001786642,0.0002848053,0.0001855041,0.0001313648,0.00004192631,0.0005369968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001746026,"about_ca_system_score_gemma":0.000008124185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003167907,"about_ca_topic_score_gemma":0.000124541,"domain_scores_codex":[0.9989927,0.00003025316,0.0002218483,0.0002685771,0.000278987,0.0002075764],"domain_scores_gemma":[0.9993584,0.0001173021,0.00009234853,0.0003366723,0.000002293885,0.0000929473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003436034,0.0002221597,0.8068507,0.000002554789,0.00003386388,0.000005691719,0.00009611006,0.01569968,0.05651096,0.0002107633,0.000649821,0.1196833],"study_design_scores_gemma":[0.0005597167,0.00006559591,0.9867244,0.000009546987,0.00002239271,5.075258e-7,0.00005335436,0.004608728,0.001006116,0.0009071825,0.005853892,0.0001885531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9052955,0.00001226865,0.09163492,0.0003139579,0.00005972885,0.00009949379,0.000008579981,0.00004338161,0.002532165],"genre_scores_gemma":[0.8263495,0.00002017843,0.1688996,0.0003043472,0.00001456415,0.00001053963,0.000005806096,0.00001909527,0.004376416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1798737,"threshold_uncertainty_score":0.988404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019159848412115,"score_gpt":0.2010254917994186,"score_spread":0.1908338933152974,"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."}}