{"id":"W2097895437","doi":"10.5194/gmd-6-617-2013","title":"Present state of global wetland extent and wetland methane modelling: methodology of a model inter-comparison project (WETCHIMP)","year":2013,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":226,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Camosun College; Environment and Climate Change Canada","funders":"Lawrence Berkeley National Laboratory; Biological and Environmental Research; Russian Foundation for Basic Research; Russian Academy of Sciences; Max-Planck-Gesellschaft; Sight Research UK; Office of Science; Competence Center Environment and Sustainability; National Aeronautics and Space Administration; Natural Environment Research Council; U.S. Department of Energy; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Wetland; Environmental science; Methane; Precipitation; Climatology; Climate change; Atmospheric sciences; Meteorology; Ecology; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.007220397,0.0007902608,0.0005688995,0.000892901,0.0006680749,0.001027577,0.002582635,0.000837526,0.002459593],"category_scores_gemma":[0.005851458,0.0004727194,0.0009169098,0.001274433,0.0004195493,0.001619196,0.002658034,0.001281595,0.0003665072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189509,"about_ca_system_score_gemma":0.001858688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006582939,"about_ca_topic_score_gemma":0.005074937,"domain_scores_codex":[0.9984342,0.0009639685,0.00005503254,0.0002264679,0.0002518595,0.00006847069],"domain_scores_gemma":[0.9986518,0.0002624791,0.000157264,0.000550464,0.0003051127,0.00007284979],"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":[0.0008204415,0.001354034,0.04895187,0.0007028364,0.001040719,0.0004339543,0.0005353122,0.6131778,0.01590266,0.04238015,0.01717844,0.2575218],"study_design_scores_gemma":[0.0003894881,0.0009802044,0.05135145,0.0001665625,0.0002772115,0.0001879598,0.0002402144,0.8889905,0.0169698,0.01556175,0.02473562,0.0001493592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4136336,0.00117245,0.5391183,0.002399074,0.000218644,0.001983932,0.01403933,0.002657665,0.02477691],"genre_scores_gemma":[0.5854515,0.0004522553,0.3964882,0.0002014343,0.00005652116,0.003748533,0.01048324,0.0008113577,0.002306877],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007220397,"threshold_uncertainty_score":0.0381856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07352084926438461,"score_gpt":0.2995886928901573,"score_spread":0.2260678436257726,"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."}}