{"id":"W2279234921","doi":"10.1111/gcb.13180","title":"Seasonal responses of terrestrial ecosystem water‐use efficiency to climate change","year":2015,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":165,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Natural Resources Canada; Oak Ridge National Laboratory; Canadian Foundation for Climate and Atmospheric Sciences; National Natural Science Foundation of China; Biological and Environmental Research; University of California Berkeley; Natural Sciences and Engineering Research Council of Canada; Environment Canada; Office of Science; University of Virginia; U.S. Department of Energy; National Science Foundation","keywords":"Environmental science; Water-use efficiency; Evapotranspiration; Transpiration; Water cycle; Ecosystem; Atmospheric sciences; Climate change; Climatology; Eddy covariance; Primary production; Seasonality; Carbon cycle; Ecology; Irrigation; Photosynthesis; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002215636,0.0001168493,0.0001365325,0.0003225066,0.0001019202,0.0002622903,0.0001206164,0.0002013946,0.0006186306],"category_scores_gemma":[0.0006225944,0.000102352,0.0002143661,0.000514697,0.0001100842,0.0002643472,0.0001760161,0.0001308677,0.0001256494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002550857,"about_ca_system_score_gemma":0.00008471114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00741133,"about_ca_topic_score_gemma":0.008433014,"domain_scores_codex":[0.9999363,0.00001037649,0.00000550593,0.00002305936,0.000009754456,0.00001493559],"domain_scores_gemma":[0.9997138,0.00009793569,0.00006785541,0.00003523362,0.00005783256,0.00002731254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002022375,0.00007300102,0.9534105,0.00003030271,0.0001649653,0.0001319237,0.0001612643,0.01667527,0.01736919,0.0001614112,0.0006491555,0.01097073],"study_design_scores_gemma":[0.000002622943,0.00001681293,0.9903613,0.000001295892,0.000007678384,0.00002061726,0.00004442317,0.008751324,0.0005070303,0.00004223631,0.0002404528,0.000004137226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999028,0.00003078462,0.0001866162,0.00001651689,0.000001590917,0.000001792022,0.0004419832,0.00001716826,0.0002756516],"genre_scores_gemma":[0.9990916,0.00002568163,0.0001062635,0.000006702604,0.000001537158,0.000003920998,0.0006319718,0.000005076946,0.0001272754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00741133,"threshold_uncertainty_score":0.01473641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06262218355888996,"score_gpt":0.2740982442809229,"score_spread":0.2114760607220329,"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."}}