{"id":"W4233373363","doi":"10.5194/gmdd-5-4071-2012","title":"Present state of global wetland extent and wetland methane modelling: methodology of a model intercomparison project (WETCHIMP)","year":2012,"lang":"en","type":"preprint","venue":"","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Environment and Climate Change Canada; Camosun College","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; 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; Coupled model intercomparison project; Methane; Precipitation; Climate change; Climatology; Atmospheric sciences; Meteorology; Climate model; 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":[0.004610826,0.0008197278,0.0004961622,0.0006986461,0.0006032573,0.0009303954,0.002367705,0.0008320219,0.001780719],"category_scores_gemma":[0.003694418,0.0004484199,0.0009000353,0.001001744,0.0003883039,0.001388111,0.001921462,0.001187793,0.0003415501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009142391,"about_ca_system_score_gemma":0.001557994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006923994,"about_ca_topic_score_gemma":0.005702773,"domain_scores_codex":[0.9991073,0.0005289308,0.00003333806,0.000141006,0.0001465858,0.00004279117],"domain_scores_gemma":[0.9991703,0.0001496862,0.0001005001,0.00036229,0.0001762185,0.00004104765],"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":[0.0004647166,0.0007850392,0.03477475,0.0005866582,0.001021343,0.0004135428,0.0004798562,0.6738491,0.02223314,0.03130534,0.01498423,0.2191023],"study_design_scores_gemma":[0.0002989941,0.0005967796,0.04034681,0.0001408949,0.0002904815,0.0001586455,0.0001942642,0.8997688,0.01890454,0.01442251,0.02472744,0.000149838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3718708,0.001292259,0.5859616,0.002539655,0.0002391513,0.001258775,0.01150581,0.002880798,0.02245113],"genre_scores_gemma":[0.5757759,0.0006375439,0.4084743,0.0002317146,0.00007573795,0.003374172,0.008131305,0.0007306514,0.002568715],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006923994,"threshold_uncertainty_score":0.02438462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1154154939255118,"score_gpt":0.3426137689976721,"score_spread":0.2271982750721603,"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."}}