{"id":"W4280569501","doi":"10.3389/fenvs.2022.866082","title":"Challenges Regionalizing Methane Emissions Using Aquatic Environments in the Amazon Basin as Examples","year":2022,"lang":"en","type":"article","venue":"Frontiers in Environmental Science","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bureau de Coopération Interuniversitaire; Université du Québec à Montréal","funders":"International Max Planck Research School for global Biogeochemical Cycles; Bundesministerium für Bildung und Forschung; International Max Planck Research School for Advanced Methods in Process and Systems Engineering; International Max Planck Research School for Environmental, Cellular and Molecular Microbiology; Fundação de Amparo à Pesquisa do Estado de São Paulo; Division of Environmental Biology; National Aeronautics and Space Administration; National Science Foundation","keywords":"Environmental science; Wetland; Amazon rainforest; Biogeochemical cycle; Aquatic ecosystem; Ecosystem; Structural basin; Hydrology (agriculture); Floodplain; Ecology; 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":[0.00266112,0.0006930385,0.0008131024,0.0009986901,0.0003977491,0.0012324,0.001119285,0.0004730681,0.0006620554],"category_scores_gemma":[0.007614361,0.0002648275,0.0007626975,0.002091435,0.0004436084,0.002087349,0.001201081,0.000747885,0.0001515733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00128065,"about_ca_system_score_gemma":0.001832211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08641113,"about_ca_topic_score_gemma":0.1236511,"domain_scores_codex":[0.9992901,0.0003085121,0.00006615771,0.0001779444,0.0000993773,0.00005799568],"domain_scores_gemma":[0.9978225,0.001034483,0.0002510717,0.0002089614,0.0006274348,0.00005550456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001604642,0.00006894692,0.2076909,0.003233809,0.0009561279,0.0004723366,0.001740664,0.18191,0.01833015,0.02638878,0.005845027,0.5532027],"study_design_scores_gemma":[0.0001046592,0.0001928849,0.3535331,0.003474942,0.001162273,0.0008299673,0.008637935,0.3249881,0.01846558,0.1443153,0.1439557,0.0003395839],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5325682,0.08937708,0.2924311,0.04481464,0.0007669181,0.000260034,0.01269729,0.001524131,0.02556063],"genre_scores_gemma":[0.8518947,0.0186553,0.1255546,0.0007859595,0.000263537,0.0001264371,0.00191398,0.0002275366,0.0005779589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08641113,"threshold_uncertainty_score":0.1718163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02567789865046081,"score_gpt":0.2387280057413338,"score_spread":0.213050107090873,"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."}}