{"id":"W2051804317","doi":"10.5194/bg-6-1027-2009","title":"Precipitation as driver of carbon fluxes in 11 African ecosystems","year":2009,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":184,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Deutsche Forschungsgemeinschaft; National Aeronautics and Space Administration; National Oceanic and Atmospheric Administration; Max-Planck-Gesellschaft; National Science Foundation","keywords":"Eddy covariance; Environmental science; Ecosystem respiration; Ecosystem; Vapour Pressure Deficit; Photosynthesis; Atmospheric sciences; Hydrology (agriculture); Ecology; Transpiration; Biology; Botany; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002001018,0.00006117391,0.00008273853,0.00007382469,0.00003255802,0.00001506498,0.0001753477,0.00003414851,0.00005658955],"category_scores_gemma":[0.00001545707,0.00004912119,0.00002110113,0.0004483037,0.0001048175,0.0001453412,0.00002389695,0.00002594082,0.00001743119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004702755,"about_ca_system_score_gemma":0.00001011864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006732829,"about_ca_topic_score_gemma":0.003780931,"domain_scores_codex":[0.9992485,0.00002948249,0.0001613989,0.0001747327,0.0002429992,0.0001428993],"domain_scores_gemma":[0.999779,0.00001747085,0.00007020807,0.00009318661,0.000003851714,0.00003625197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004738831,0.00007974004,0.9613851,0.000002081681,7.70332e-7,0.000003177599,0.00115704,0.001554078,0.03225175,0.0008909142,0.00002430364,0.002646255],"study_design_scores_gemma":[0.0001617865,0.0002080481,0.9439132,0.00001970517,0.000005206469,0.000006320025,0.0002750678,0.04741609,0.002997967,0.003179953,0.001648914,0.0001677635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793695,0.00001813974,0.00001263077,0.0001154761,0.00008621063,0.00009565622,0.000007127375,0.00001141524,0.02028391],"genre_scores_gemma":[0.9994757,0.000009274435,0.0002212147,0.00001963175,0.000006677727,0.000002861282,0.000004422777,0.000001395859,0.0002588558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04586201,"threshold_uncertainty_score":0.9998814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006914096893928602,"score_gpt":0.2045659760982445,"score_spread":0.1976518792043158,"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."}}