{"id":"W2143298665","doi":"10.5194/acp-16-3711-2016","title":"Carbonyl sulfide exchange in soils for better estimates of ecosystem carbon uptake","year":2016,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Oak Ridge National Laboratory; Biological and Environmental Research; Office of Science; Division of Atmospheric and Geospace Sciences; National Oceanic and Atmospheric Administration; Université Laval; Microsoft Research; National Science Foundation; Canon Foundation for Scientific Research; Division of Biological Infrastructure; U.S. Department of Energy","keywords":"Soil water; Carbonyl sulfide; Environmental science; Carbon cycle; Deciduous; Sink (geography); Atmospheric sciences; Ecosystem; Environmental chemistry; Soil science; Soil carbon; Flux (metallurgy); Chemistry; Hydrology (agriculture); Ecology; Geology; Geography; Sulfur","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008476076,0.0001889499,0.0002411884,6.572097e-8,0.00003118451,0.000006021674,0.0001292728,0.00008765475,0.0003096906],"category_scores_gemma":[0.000009080713,0.0001476614,0.00005693001,0.00009126231,0.0001566546,0.00008304509,0.00008667608,0.00005067615,0.000004306178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001287636,"about_ca_system_score_gemma":0.000005761985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001823983,"about_ca_topic_score_gemma":0.00001818104,"domain_scores_codex":[0.9990453,0.00000794512,0.0002353911,0.0003111716,0.0001312372,0.0002690007],"domain_scores_gemma":[0.9995261,0.00007990179,0.00009763442,0.0002187638,0.0000031396,0.00007446812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008331391,0.000197548,0.2777309,0.0003323455,0.00004245923,0.000007518717,0.000446896,0.00580706,0.1483881,0.00002062381,0.0000893861,0.5668539],"study_design_scores_gemma":[0.007450917,0.0004096045,0.2035463,0.000640261,0.0002509449,0.00004629109,0.0006162732,0.6019449,0.1526916,0.0158629,0.01394912,0.002590852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921358,0.00008144423,0.005027079,0.00006144742,0.00002826817,0.0001576883,0.00001114352,0.00001667831,0.002480476],"genre_scores_gemma":[0.9722838,0.00009366781,0.02637669,0.0000407062,0.00006089534,0.00005019773,0.000004075995,0.00002556289,0.001064333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5961378,"threshold_uncertainty_score":0.6021457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005431031153552176,"score_gpt":0.190482314455024,"score_spread":0.1850512833014719,"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."}}