{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000325815,0.0001287258,0.0001833233,0.00003452468,0.00004138952,0.00001361603,0.0002203583,0.0001206546,0.00005432878],"category_scores_gemma":[0.00003828989,0.00009098385,0.00004559441,0.0001632913,0.00006552236,0.0001224399,0.0003329659,0.00004308666,0.0004207329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001818762,"about_ca_system_score_gemma":0.000007191441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001120538,"about_ca_topic_score_gemma":0.0005181778,"domain_scores_codex":[0.99885,0.0001404235,0.0001969502,0.000264844,0.0001430135,0.0004048014],"domain_scores_gemma":[0.9995463,0.00002075606,0.00005425192,0.0001858851,0.000009767952,0.0001830176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007798417,0.0001277603,0.9860295,0.000009670074,0.00001450624,0.00002831513,0.00114934,0.00006215421,0.002295706,0.0008620314,0.0002970222,0.008344169],"study_design_scores_gemma":[0.006917009,0.00649597,0.6756332,0.0002372787,0.0001883671,0.0005803164,0.0004075626,0.04154253,0.002069092,0.002412683,0.2609174,0.002598588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968035,0.00003934717,0.00006633523,0.0003048602,0.000614848,0.0003443708,0.001086179,0.0000362281,0.0007043413],"genre_scores_gemma":[0.9992722,0.00001715631,0.0001827004,0.0001871223,0.0001592121,0.00005250235,0.00009687703,0.000005199541,0.00002698486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3103963,"threshold_uncertainty_score":0.5407811,"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."}}