{"id":"W2605911030","doi":"10.1111/gcb.13726","title":"Interannual variation in methane emissions from tropical wetlands triggered by repeated El Niño Southern Oscillation","year":2017,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Université de Montréal; Université du Québec à Montréal","funders":"Program for New Century Excellent Talents in University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Wetland; Environmental science; Climatology; Precipitation; Methane; Atmospheric sciences; Climate change; El Niño Southern Oscillation; Greenhouse gas; Tropical climate; Lag; Atmospheric methane; Global warming; Coupled model intercomparison project; Climate model; Ecology; Geography; Oceanography; Geology; Meteorology","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":[],"consensus_categories":[],"category_scores_codex":[0.00008788749,0.0001488569,0.0001970538,0.000004226511,0.0001238141,0.0000184938,0.0002788944,0.0002310175,0.0008798364],"category_scores_gemma":[0.00006132139,0.0001262826,0.00004525615,0.000058741,0.0001813981,0.0001293265,0.0002417835,0.0001001847,0.0001684956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003068095,"about_ca_system_score_gemma":0.000003925156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01469897,"about_ca_topic_score_gemma":0.0009197245,"domain_scores_codex":[0.9989445,0.00009787833,0.0002139299,0.0003787209,0.0001026376,0.0002623433],"domain_scores_gemma":[0.9994186,0.0000192006,0.0001555091,0.0003077272,0.000002444428,0.00009657271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008695191,0.0000548655,0.98684,6.212899e-7,0.00001091154,0.000003397153,0.0004791671,0.00001935924,0.002501174,0.00002124933,0.0001091831,0.009873188],"study_design_scores_gemma":[0.0007634041,0.00008891165,0.991613,0.000006538241,0.00001433819,0.000002234258,0.0001066766,0.003873468,0.00001029885,0.001176195,0.002190405,0.0001545001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943129,0.00005387739,0.003469226,0.0004888353,0.0002514972,0.000172277,0.0002061287,0.0000287918,0.001016505],"genre_scores_gemma":[0.9982231,0.00004869586,0.001070218,0.0001746682,0.0000979155,0.0000207638,0.0001499537,0.000007517615,0.0002071639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01377924,"threshold_uncertainty_score":0.9918622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789511472176026,"score_gpt":0.2666565948430029,"score_spread":0.2487614801212426,"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."}}