{"id":"W4385872471","doi":"10.1038/s41586-023-06344-6","title":"Global methane emissions from rivers and streams","year":2023,"lang":"en","type":"article","venue":"Nature","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":315,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"National Key Research and Development Program of China; Sveriges Lantbruksuniversitet; Vetenskapsrådet; National Science Foundation","keywords":"Environmental science; Wetland; Greenhouse gas; STREAMS; Global warming; Climate change; Methane; Hydrology (agriculture); Edaphic; Atmospheric methane; Soil water; Atmospheric sciences; Ecology; Geology; Soil science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003796051,0.00009010456,0.00007296979,0.000001781343,0.00006554279,0.000008343996,0.0001150842,0.0003862797,0.0009697738],"category_scores_gemma":[0.00001437312,0.00007585807,0.00002562152,0.0002259553,0.0001159802,0.00007138065,0.0002283609,0.0003268308,0.0002643979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001037586,"about_ca_system_score_gemma":0.000002338164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004012852,"about_ca_topic_score_gemma":0.00006601529,"domain_scores_codex":[0.9993547,0.0000129344,0.00005578249,0.0002257992,0.0001869972,0.0001637533],"domain_scores_gemma":[0.9997143,0.00002063763,0.00002012537,0.0001294076,5.632682e-7,0.0001149497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001962048,0.00003714027,0.8605808,0.000002208805,0.00002623285,0.00005858245,0.0002558004,0.0121163,0.001623564,0.0001248234,0.02058689,0.104568],"study_design_scores_gemma":[0.0002557,0.00002000911,0.9634913,0.000005190151,0.00001845201,0.000003689424,0.0003630389,0.007231286,0.00005229658,0.003937242,0.02446745,0.0001544003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929738,0.00011263,0.0001315563,0.000460342,0.000116398,0.00005421864,0.00003189362,0.00007564119,0.006043522],"genre_scores_gemma":[0.9907569,0.0001534061,0.006648215,0.0004872166,0.00002581577,0.000002288432,0.00003012547,0.000007475305,0.001888567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1044136,"threshold_uncertainty_score":0.9999435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003830405740069476,"score_gpt":0.2206176173474182,"score_spread":0.2167872116073487,"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."}}