{"id":"W2518996459","doi":"10.1016/j.agrformet.2016.09.003","title":"On the variability of the ecosystem response to elevated atmospheric CO2 across spatial and temporal scales at the Duke Forest FACE experiment","year":2016,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; ETH Zürich Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; U.S. Department of Energy; Stavros Niarchos Foundation; Eidgenössische Technische Hochschule Zürich; National Science Foundation","keywords":"Transpiration; Environmental science; Stomatal conductance; Ecosystem; Atmospheric sciences; Canopy; Temporal scales; Vapour Pressure Deficit; Carbon dioxide; Leaf area index; Photosynthesis; Biometeorology; Spatial variability; Forest ecology; Carbon dioxide in Earth's atmosphere; Carbon cycle; Ecology; Biology; Botany; Mathematics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001057397,0.0002689054,0.0003002325,0.00000270086,0.0006357109,0.00004549386,0.0004791083,0.0001653333,0.0000763159],"category_scores_gemma":[0.000579167,0.00004757909,0.0001066202,0.0002825614,0.0004183902,0.0000625368,0.0004820365,0.0001341066,0.00002040976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006078165,"about_ca_system_score_gemma":0.000009030275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004829302,"about_ca_topic_score_gemma":0.01628546,"domain_scores_codex":[0.9972982,0.001201143,0.0003440068,0.000444854,0.0002532892,0.0004585168],"domain_scores_gemma":[0.9955943,0.003813969,0.0001960329,0.0001909692,0.00008608693,0.0001186885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003548963,0.00006632531,0.1032059,0.000005626546,0.00006040186,0.000003477973,0.0004302076,0.00003080205,0.8863903,0.001096235,0.001123043,0.004038732],"study_design_scores_gemma":[0.0002978024,0.0008171182,0.9782622,0.00002557117,0.00001688594,0.00008479825,0.0003952793,0.00003623461,0.01359649,0.0003074677,0.005990379,0.000169746],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794733,0.00009788057,0.000004518105,0.01912297,0.000135797,0.0008059457,0.0002922873,0.00003185172,0.00003545792],"genre_scores_gemma":[0.9987963,0.00002255327,0.000008637824,0.0003476645,0.00006401089,0.0001023998,0.00001371607,0.00000166652,0.0006429859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8750564,"threshold_uncertainty_score":0.9087667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009961230034540048,"score_gpt":0.2099993033290171,"score_spread":0.2000380732944771,"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."}}