{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002020778,0.0001533986,0.0001246342,0.0003341903,0.0001503062,0.000256834,0.0001138529,0.0001526221,0.0005951843],"category_scores_gemma":[0.0004026126,0.00009319132,0.0002315418,0.000314698,0.00009796983,0.0001530065,0.0001781106,0.0001670607,0.00007756361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002212773,"about_ca_system_score_gemma":0.0001176371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007638674,"about_ca_topic_score_gemma":0.008888965,"domain_scores_codex":[0.9999363,0.000009467073,0.000005492693,0.00001879846,0.00001365597,0.00001624219],"domain_scores_gemma":[0.9997247,0.0000644856,0.00008937063,0.00001663813,0.00005843299,0.00004642084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003887006,0.00009981058,0.9689534,0.00002932529,0.000194068,0.0001757889,0.0001725421,0.007565469,0.01744925,0.000106113,0.0005706656,0.004294928],"study_design_scores_gemma":[0.000005214315,0.00002415346,0.9936666,0.000002061648,0.00001755227,0.00002023277,0.00005287574,0.005561435,0.0004814632,0.0000180618,0.0001458938,0.000004375022],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995409,0.00001267411,0.00005014196,0.000007635202,0.000003251674,0.000001097283,0.0002092512,0.000006353876,0.0001687477],"genre_scores_gemma":[0.9995809,0.00001224858,0.00003599122,0.000003018144,0.00000311113,0.0000023498,0.0002982368,0.000001428212,0.00006272623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007638674,"threshold_uncertainty_score":0.0151884,"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."}}