{"id":"W3136046920","doi":"10.1029/2021gl092556","title":"Effects of Using High Resolution Satellite‐Based Inundation Time Series to Estimate Methane Fluxes From Forested Wetlands","year":2021,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Science Foundation","keywords":"Wetland; Environmental science; Methane; Hydrology (agriculture); Surface water; Atmospheric methane; Satellite; Watershed; Atmospheric sciences; Geology; Ecology; Environmental engineering","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":[0.001560838,0.0004702689,0.0002468506,0.0004500071,0.0002383269,0.000557134,0.0003293724,0.0004100759,0.0002336194],"category_scores_gemma":[0.003427952,0.0002746686,0.0005166304,0.0005120768,0.000239207,0.0006320236,0.0002741301,0.000275381,0.00006934803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003781077,"about_ca_system_score_gemma":0.0002415769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01767983,"about_ca_topic_score_gemma":0.01729266,"domain_scores_codex":[0.9996182,0.0001999681,0.00002937669,0.00008097886,0.00004132971,0.00003001208],"domain_scores_gemma":[0.9980344,0.001340576,0.0002058662,0.0001758016,0.0001806111,0.00006274685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00104813,0.0003708801,0.6216671,0.00007210954,0.0005712013,0.0001855723,0.0001148789,0.3295612,0.02371621,0.0001772189,0.0002550142,0.02226044],"study_design_scores_gemma":[0.0000428237,0.0001271414,0.3775708,0.00001018986,0.00008650756,0.00004628504,0.00007378688,0.6120031,0.009651794,0.00012814,0.0002293562,0.00003003977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981794,0.00002582664,0.001501275,0.0000236237,0.000005028069,0.000003728545,0.0001071197,0.00002818083,0.0001257934],"genre_scores_gemma":[0.9980392,0.00001530312,0.001702952,0.00000867311,0.000002799558,0.000004051691,0.0001849296,0.000005339899,0.00003670905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01767983,"threshold_uncertainty_score":0.03515387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392867209679826,"score_gpt":0.2822389191903638,"score_spread":0.2683102470935655,"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."}}