{"id":"W4394935642","doi":"10.1016/j.envres.2024.118907","title":"Global responses of wetland methane emissions to extreme temperature and precipitation","year":2024,"lang":"en","type":"article","venue":"Environmental Research","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Science Foundation of Sichuan Province; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Environmental science; Methane; Wetland; Precipitation; Atmospheric sciences; Methane emissions; Atmospheric methane; Greenhouse gas; Climate change; Environmental chemistry; Climatology; Meteorology; Ecology; Chemistry; Geography; Biology; Geology","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":[0.0001230838,0.000229415,0.0001504255,0.0002382651,0.0001613011,0.0002553977,0.0001173725,0.0003189867,0.001360638],"category_scores_gemma":[0.000242119,0.0001386175,0.0003376471,0.0003158597,0.0002789071,0.0002494372,0.0005020234,0.0001970969,0.0001546306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003189858,"about_ca_system_score_gemma":0.0001410051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00995708,"about_ca_topic_score_gemma":0.008999426,"domain_scores_codex":[0.9999524,0.000008281641,0.000002299334,0.00001258647,0.000004484899,0.00001989926],"domain_scores_gemma":[0.9999051,0.0000221608,0.00002512681,0.00001075166,0.00001797824,0.00001882022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002544337,0.0001340642,0.7846251,0.000152985,0.0006176481,0.0004073776,0.0007100617,0.04098623,0.1448544,0.001264695,0.001435752,0.02226735],"study_design_scores_gemma":[0.00001310778,0.00005095171,0.9951451,0.00000234219,0.0000206092,0.0000292299,0.0001744623,0.002654405,0.001171475,0.0002175125,0.0005141261,0.000006520319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986202,0.00004440554,0.0001004249,0.00006744266,0.000004793073,0.000001392055,0.000342376,0.00001226204,0.0008067236],"genre_scores_gemma":[0.9995106,0.00003060341,0.00005410735,0.00001030725,0.000003120792,0.00000221268,0.0002279978,0.000003545766,0.0001574464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00995708,"threshold_uncertainty_score":0.01979822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02928884115515075,"score_gpt":0.32133876824965,"score_spread":0.2920499270944993,"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."}}