{"id":"W3088198848","doi":"10.5194/gmd-14-3269-2021","title":"Improvement of modeling plant responses to low soil moisture in JULESvn4.9 and evaluation against flux tower measurements","year":2021,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Horizon 2020; Directorate-General for the Environment; Natural Environment Research Council; Engineering and Physical Sciences Research Council; Sight Research UK; Agence Nationale de la Recherche; National Aeronautics and Space Administration; Department for Environment, Food and Rural Affairs, UK Government; Newton Fund; University of Reading; Department for Business, Energy and Industrial Strategy, UK Government; Fundação de Amparo à Pesquisa do Estado de São Paulo; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Met Office; Gordon and Betty Moore Foundation","keywords":"Environmental science; Water content; Biome; Soil water; Temperate climate; Flux (metallurgy); Atmospheric sciences; Moisture stress; Moisture; Hydrology (agriculture); Ecosystem; Soil science; Ecology; Meteorology; Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001167506,0.001199105,0.000675017,0.0003504802,0.0003254582,0.0006047999,0.001653227,0.0009133727,0.001502625],"category_scores_gemma":[0.001756838,0.0005315841,0.0007964923,0.0003017771,0.0003761747,0.0005573366,0.0003998396,0.0008338356,0.0002692647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121717,"about_ca_system_score_gemma":0.0007376872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05369947,"about_ca_topic_score_gemma":0.03939248,"domain_scores_codex":[0.9997309,0.00009585459,0.00001992075,0.00006021135,0.00005202545,0.00004109701],"domain_scores_gemma":[0.999046,0.0004735418,0.00006676452,0.00009926344,0.0002186162,0.00009571743],"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":[0.0003154486,0.0001932504,0.01769321,0.0001154576,0.00009388694,0.00008944882,0.0000905406,0.9680178,0.00603756,0.0003288811,0.0009891498,0.006035263],"study_design_scores_gemma":[0.00004043367,0.00004682298,0.002800195,0.000003938308,0.00001078213,0.000005004668,0.00001093486,0.9954261,0.001324263,0.00004089309,0.0002821101,0.000008573431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823699,0.0001095098,0.01083174,0.0001311142,0.0000896427,0.00008041254,0.001881981,0.002070526,0.002435239],"genre_scores_gemma":[0.9876338,0.00004736016,0.009900426,0.00004522669,0.000008435566,0.00005446725,0.001657928,0.0001524835,0.0004998361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05369947,"threshold_uncertainty_score":0.1067738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03267950075944566,"score_gpt":0.2334646402981397,"score_spread":0.2007851395386941,"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."}}