{"id":"W2728156591","doi":"10.1016/j.atmosenv.2017.07.001","title":"Methane emissions from global wetlands: An assessment of the uncertainty associated with various wetland extent data sets","year":2017,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Victoria; National Science Foundation","keywords":"Wetland; Environmental science; Swamp; Range (aeronautics); Ecosystem; Methane; Global change; Climatology; Atmospheric sciences; Hydrology (agriculture); Climate change; Ecology; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009046517,0.0006889179,0.0006409242,0.001707433,0.0004274136,0.001318628,0.000638823,0.0009070954,0.0002444637],"category_scores_gemma":[0.02025859,0.0004397058,0.001695937,0.002109809,0.0006569054,0.001670358,0.001266277,0.0005435381,0.00005516934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009456362,"about_ca_system_score_gemma":0.0007748773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01544335,"about_ca_topic_score_gemma":0.01501895,"domain_scores_codex":[0.996855,0.001485178,0.000284268,0.0004104158,0.0008270391,0.0001380761],"domain_scores_gemma":[0.9761445,0.01962078,0.001647123,0.001324911,0.001106539,0.0001561502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001319321,0.0001506779,0.271473,0.0002865411,0.001922047,0.0002246482,0.0001899815,0.6894678,0.003859021,0.002048488,0.0004433798,0.02861507],"study_design_scores_gemma":[0.000190573,0.0004048467,0.4299345,0.0002241519,0.00121509,0.0002741704,0.0004771117,0.544309,0.01173801,0.007721047,0.003290092,0.0002213841],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871474,0.0005186757,0.007261334,0.000250166,0.00001256334,0.00002728533,0.003756766,0.00006547308,0.0009602921],"genre_scores_gemma":[0.9917949,0.0002239003,0.004467457,0.00003448035,0.00001380353,0.00002566373,0.003330857,0.00001699352,0.00009193015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01544335,"threshold_uncertainty_score":0.0478431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0163514841866091,"score_gpt":0.2728777460837181,"score_spread":0.256526261897109,"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."}}