{"id":"W2616080896","doi":"10.5194/bg-14-4435-2017","title":"Ideas and perspectives: how coupled is the vegetation to the boundary layer?","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Canadian Foundation for Climate and Atmospheric Sciences; Oak Ridge National Laboratory; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; University of Virginia; Natural Resources Canada; Università degli Studi della Tuscia; Université Laval; Microsoft Research; U.S. Department of Energy; National Science Foundation","keywords":"Evergreen; Transpiration; FluxNet; Environmental science; Stomatal conductance; Atmospheric sciences; Deserts and xeric shrublands; Decoupling (probability); Vegetation (pathology); Hadronization; Ecology; Eddy covariance; Ecosystem; Geology; Photosynthesis; Physics; Biology; Botany","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.000340612,0.00006101605,0.00004266074,0.00001244321,0.001612905,0.0006045942,0.0004847301,0.00001942301,0.00003119173],"category_scores_gemma":[0.00005123312,0.00002934354,0.00002008037,0.00008756149,0.0006960502,0.0002764081,0.0001770576,0.00004563466,0.00006245472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000242391,"about_ca_system_score_gemma":0.000009991975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001297197,"about_ca_topic_score_gemma":0.001429045,"domain_scores_codex":[0.9993634,0.00001970842,0.00004777094,0.0002000023,0.0002365979,0.0001325216],"domain_scores_gemma":[0.9995896,0.00002761817,0.00005589227,0.0002778634,0.000006129034,0.00004293667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002448413,0.00008052499,0.8931692,0.000007621658,0.00002605805,0.00000884531,0.0469694,0.0007420243,0.01316964,0.01143695,0.004954862,0.02941034],"study_design_scores_gemma":[0.000065988,0.00003872428,0.9153681,0.000005136741,0.00000918413,0.000008947601,0.001411438,0.04951614,0.00008445351,0.002060309,0.03133181,0.00009973937],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667486,0.0001692282,0.000256638,0.029343,0.0001324754,0.0001511978,0.00001049392,0.000009750689,0.003178645],"genre_scores_gemma":[0.9984322,0.00005221776,0.000161565,0.0004025123,0.00002517937,0.000009767854,6.298379e-7,0.000001997576,0.0009139222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04877411,"threshold_uncertainty_score":0.9996868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168887628032218,"score_gpt":0.2331671961368784,"score_spread":0.2162784333336566,"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."}}