{"id":"W4403781880","doi":"10.1111/gcb.17546","title":"No Future Growth Enhancement Expected at the Northern Edge for European Beech due to Continued Water Limitation","year":2024,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Canadian Forest Service; Bundesamt für Umwelt; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Swiss Federal Institute for Forest, Snow and Landscape Research; Ministerstvo Pôdohospodárstva a Rozvoja Vidieka Slovenskej Republiky; Univerza v Ljubljani; Vlaamse Instelling voor Technologisch Onderzoek; Universidad de Jaén; Département de la Santé des Forêts; Universidad de Zaragoza; Università degli Studi di Torino; U.S. Forest Service; Technische Universität München; AgroParisTech; Université de Bordeaux; Université de Liège; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja; Universitatea Transilvania din Brasov; Universidad Politécnica de Madrid; Universität für Bodenkultur Wien; Ministerio de Ciencia e Innovación; European Social Fund; Natural Resources Canada; Eidgenössische Technische Hochschule Zürich; Technische Universität Dresden; Università degli Studi di Pavia; Agencia Estatal de Investigación; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; University of Stirling; Grantová Agentura České Republiky; Uniwersytet Rolniczy im. Hugona Kołłątaja w Krakowie; Universität Greifswald; Ministerio de Ciencia, Innovación y Universidades; University of Nevada, Reno; Bulgarian Academy of Sciences; Albert-Ludwigs-Universität Freiburg; Mendelova Univerzita v Brně; Université de Lorraine; Natural Environment Research Council; Università degli Studi della Campania Luigi Vanvitelli; Agentúra na Podporu Výskumu a Vývoja; Universität Basel; Universität Hohenheim; Deutsche Forschungsgemeinschaft","keywords":"Beech; Environmental science; Enhanced Data Rates for GSM Evolution; Fagus sylvatica; Ecology; Biology; Computer science; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00112788,0.0004284773,0.0002934889,0.0002707348,0.000232642,0.0009631939,0.0003485436,0.0005759331,0.002328101],"category_scores_gemma":[0.001515605,0.0002249734,0.000819986,0.0003172846,0.0003294823,0.0006050827,0.0004355608,0.0003593909,0.0002900096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008363174,"about_ca_system_score_gemma":0.0004907215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02573766,"about_ca_topic_score_gemma":0.03571625,"domain_scores_codex":[0.9997028,0.00006765035,0.00001511559,0.0001308981,0.00002602054,0.00005761112],"domain_scores_gemma":[0.999481,0.0001981968,0.0001102882,0.0000706904,0.00007928441,0.00006052118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003811734,0.00009581513,0.7358863,0.0001501195,0.0006223317,0.0004475069,0.0001546328,0.2218317,0.01364605,0.00516821,0.002456739,0.01915942],"study_design_scores_gemma":[0.00004271667,0.0001708985,0.6969202,0.00008090244,0.0002737696,0.0002103705,0.0003274736,0.2903701,0.003201291,0.003494232,0.004842031,0.00006602713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916123,0.0002958505,0.003707183,0.0004627738,0.00003348027,0.00000660091,0.001613634,0.0001165448,0.002151637],"genre_scores_gemma":[0.9984825,0.00006052707,0.0005531521,0.00005977155,0.000005038131,0.000005122685,0.0004723785,0.00001026995,0.0003512954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02573766,"threshold_uncertainty_score":0.05117571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799680117253302,"score_gpt":0.2562818222114289,"score_spread":0.2382850210388958,"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."}}