{"id":"W2532468202","doi":"10.1111/gcb.13535","title":"A synthesis of radial growth patterns preceding tree mortality","year":2016,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":550,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service; University of Alberta; Université Laval; Natural Resources Canada; Centre de Géomatique du Québec; University of Victoria","funders":"Fundação para a Ciência e a Tecnologia; Medical Research Council; Arkansas Agricultural Experiment Station; U.S. Forest Service; Russian Science Foundation; Ministerio de Ciencia e Innovación; Wageningen University and Research; Ministry of Agriculture and Rural Development; Academy of Finland; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; American Roentgen Ray Society; Ministerio de Economía y Competitividad; Horizon 2020; Ministerie van Economische Zaken; Fonds Wetenschappelijk Onderzoek; Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Investigaciones Científicas y Técnicas; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Javna Agencija za Raziskovalno Dejavnost RS; Hungarian Scientific Research Fund; U.S. Geological Survey; Ministry of Forests, Lands and Natural Resource Operations; Austrian Science Fund; Ministerstvo Školství, Mládeže a Tělovýchovy; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Fondo para la Investigación Científica y Tecnológica; University of Winnipeg; Institut National de la Recherche Agronomique; Jewish National Fund; Vlaamse regering; Weizmann Institute of Science; Agence Nationale de la Recherche; Minerva Foundation; U.S. Department of Agriculture; National Science Foundation","keywords":"Interspecific competition; Biology; Bark (sound); Competition (biology); Ecology; Dead tree; Longevity; Mortality rate; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000936889,0.00007563427,0.0001166242,0.000009760849,0.00003558661,0.000004313993,0.0001401729,0.00008478037,0.0002166963],"category_scores_gemma":[0.00003153608,0.00004820091,0.0000422275,0.0000701884,0.0001015054,0.0000630654,0.0001036376,0.00001857569,0.00005451027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009792776,"about_ca_system_score_gemma":0.000002401399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002146595,"about_ca_topic_score_gemma":0.0008172306,"domain_scores_codex":[0.999419,0.00004598964,0.0001195497,0.0001725193,0.00006173911,0.0001811717],"domain_scores_gemma":[0.9997439,0.00003391895,0.00005853512,0.0001128235,0.000003725267,0.00004703882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007293124,0.00001182183,0.9711493,0.000002360036,0.00001049895,0.000001374474,0.00001665731,1.56746e-7,0.001475942,0.0005804159,0.0000220896,0.0267221],"study_design_scores_gemma":[0.0001443882,0.00004539977,0.9966297,0.00001532939,0.00001887865,0.000008245064,0.000003892052,0.0001626744,0.0005992119,0.001795015,0.0004740933,0.0001031444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923755,0.00001295625,0.0006107608,0.0002109125,0.000150078,0.00008096857,0.0005304462,0.00001933956,0.006009053],"genre_scores_gemma":[0.9997004,0.00006443502,0.00007151079,0.00003561762,0.00007233449,0.00002287806,0.000009089323,0.00000259561,0.00002116552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02661895,"threshold_uncertainty_score":0.3245023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02790007052483933,"score_gpt":0.2460539880593232,"score_spread":0.2181539175344838,"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."}}