{"id":"W2268807416","doi":"10.1002/2015jg003205","title":"The sensitivity of carbon exchanges in Great Plains grasslands to precipitation variability","year":2016,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"U.S. Department of Agriculture; National Aeronautics and Space Administration; U.S. Department of Energy","keywords":"Grassland; Precipitation; Environmental science; Eddy covariance; Primary production; Growing season; Carbon sink; Sink (geography); Atmospheric sciences; Grassland ecosystem; Ecosystem; Climatology; Physical geography; Ecology; Geography; Geology; Biology; Meteorology","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":[0.0003114446,0.0001252323,0.0001958027,0.000438028,0.0001857333,0.0004904362,0.0001498863,0.0002218995,0.0006500212],"category_scores_gemma":[0.001006624,0.0001593118,0.000159096,0.0004827991,0.000348887,0.0002892899,0.000334176,0.0001371141,0.00007064189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002071332,"about_ca_system_score_gemma":0.0001063422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009646572,"about_ca_topic_score_gemma":0.007413568,"domain_scores_codex":[0.9998454,0.00005567493,0.000009465987,0.00004454347,0.00001825195,0.00002666156],"domain_scores_gemma":[0.9994488,0.0002296399,0.0001545843,0.00005609206,0.00004750644,0.00006341369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001919476,0.00003399293,0.9831879,0.00001376682,0.0001713606,0.0001191524,0.0002002849,0.002135342,0.01096764,0.00007343118,0.00008195051,0.002823357],"study_design_scores_gemma":[0.00000233299,0.00000552278,0.9990994,4.395263e-7,0.000003461206,0.00001758347,0.00003045738,0.0007280802,0.00006752704,0.00001935714,0.00002463176,0.000001135481],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999746,0.00001625395,0.00004944147,0.000009304194,4.401876e-7,0.000001014585,0.00005160336,0.000004235344,0.0001215828],"genre_scores_gemma":[0.9998341,0.000009545918,0.00003312236,0.000005987669,0.000001436876,0.000001502981,0.00008197745,0.000001119382,0.00003122068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009646572,"threshold_uncertainty_score":0.01918083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02373454837424376,"score_gpt":0.296369562147424,"score_spread":0.2726350137731802,"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."}}