{"id":"W7067076608","doi":"","title":"Legacy effects of previous climatic events on the Amazon drought response","year":2023,"lang":"en","type":"article","venue":"Lirias (KU Leuven)","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Senckenberg Biodiversität und Klima Forschungszentrum; Universität Zürich; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung; National Geographic Society; Bundesministerium für Bildung und Forschung; Fonds De La Recherche Scientifique - FNRS; Grantová Agentura České Republiky; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Research, Development and Innovation Office; Chinese Academy of Sciences; Turun Yliopistosäätiö; Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina; Magyar Tudományos Akadémia; Deutscher Akademischer Austauschdienst; Helsingin Yliopisto; Alexander von Humboldt-Stiftung; Deutsche Forschungsgemeinschaft; Universidad Nacional de Córdoba; National Science Foundation","keywords":"Amazon rainforest; Climate change; Amazon basin; Vegetation (pathology); Ectotherm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003441105,0.0005815139,0.0003785096,0.001334067,0.0002851515,0.001545054,0.0004111126,0.0003534961,0.02637502],"category_scores_gemma":[0.001290022,0.0004048047,0.0003148651,0.002429416,0.0002631485,0.00086635,0.0003226348,0.0005710201,0.004557907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001448686,"about_ca_system_score_gemma":0.00199118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04937743,"about_ca_topic_score_gemma":0.136889,"domain_scores_codex":[0.9999224,0.000006593051,0.000007840245,0.00001371957,0.00004341785,0.000006034323],"domain_scores_gemma":[0.9997069,0.00009854784,0.0000341066,0.00001968246,0.0001105887,0.00003012722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001092849,0.00001793354,0.002697839,0.000750949,0.00003886934,0.00007513412,0.0001533438,0.0009030022,0.001341011,0.003246037,0.7844115,0.2062551],"study_design_scores_gemma":[0.00001103275,0.00002056607,0.04291494,0.0003357207,0.00004143314,0.0001722083,0.00007880684,0.000400084,0.0002734708,0.002743585,0.9529957,0.00001244107],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01166051,0.7784505,0.003764536,0.01904996,0.02794061,0.00005106195,0.03641622,0.001038023,0.1216286],"genre_scores_gemma":[0.1088557,0.4094682,0.007072663,0.003956415,0.02114153,0.00009788458,0.0223214,0.00139718,0.425689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04937743,"threshold_uncertainty_score":0.09818006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124642978399404,"score_gpt":0.24686468775791,"score_spread":0.235618257973916,"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."}}