{"id":"W2155485431","doi":"10.5194/hess-17-1079-2013","title":"Improving operational land surface model canopy evapotranspiration in Africa using a direct remote sensing approach","year":2013,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Oak Ridge National Laboratory; U.S. Geological Survey; Université Laval; Microsoft Research; U.S. Department of Energy; United States Agency for International Development; National Aeronautics and Space Administration; National Science Foundation","keywords":"Evapotranspiration; Environmental science; Biome; Vegetation (pathology); Arid; Water resources; Transpiration; Climate change; Water cycle; Climatology; Hydrology (agriculture); Ecosystem","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":[0.0005140341,0.00008406082,0.0001155628,0.00004289495,0.0002891361,0.00006723212,0.00006944364,0.00007138856,0.00001084246],"category_scores_gemma":[0.000004576671,0.00006718839,0.0000132217,0.0001876941,0.0001818097,0.0003344209,0.00003268075,0.00006943336,0.00001121159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002906998,"about_ca_system_score_gemma":0.00002280433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004757029,"about_ca_topic_score_gemma":0.0006096505,"domain_scores_codex":[0.9990914,0.00008605941,0.0001654295,0.0002806029,0.0001489696,0.0002275279],"domain_scores_gemma":[0.9998131,0.00002357356,0.00004806343,0.000065413,0.000005405778,0.00004438804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002438255,0.00000354341,0.0186788,0.000006201845,0.000001334322,0.000001291249,0.0002923787,0.9729695,0.007456928,0.0000486266,7.278123e-7,0.0005382656],"study_design_scores_gemma":[0.00009992437,0.00002191947,0.001398045,0.00001065917,0.000004326447,0.00004848933,0.00003112613,0.9981724,0.00004461689,0.00007731876,0.000005430102,0.0000857609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707401,0.00004515547,0.01945826,0.00004704063,0.00003597479,0.000171123,0.000003128362,0.00001845171,0.009480719],"genre_scores_gemma":[0.9807764,0.000002753435,0.01909055,0.00002748706,0.000008006038,7.184819e-7,0.000003020922,0.000002871505,0.00008818263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02520292,"threshold_uncertainty_score":0.7191235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01882505773228413,"score_gpt":0.1956703896993015,"score_spread":0.1768453319670174,"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."}}