{"id":"W2224191195","doi":"10.1007/s10342-015-0935-6","title":"Variability in growth of trees in uneven-aged stands displays the need for optimizing diversified harvest diameters","year":2016,"lang":"en","type":"article","venue":"European Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"U.S. Forest Service; Univerza v Ljubljani; Technische Universität München; Deutsche Forschungsgemeinschaft; European Commission","keywords":"Beech; Picea abies; Forest management; Thinning; Abies alba; Fagus sylvatica; Ecology; Environmental science; Agroforestry; Forestry; Mathematics; Biology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01265984,0.00009905102,0.0001798192,0.0002658557,0.00009383843,0.00003922322,0.0008182082,0.00001872571,0.000214171],"category_scores_gemma":[0.001347343,0.00005444072,0.00009580834,0.0005512643,0.0005236378,0.0003672255,0.0003443329,0.0002684821,0.00003095796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001923636,"about_ca_system_score_gemma":0.00002303958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002374103,"about_ca_topic_score_gemma":0.0008127854,"domain_scores_codex":[0.996996,0.00143075,0.0004696074,0.0001634596,0.000538464,0.0004017256],"domain_scores_gemma":[0.9982405,0.001220134,0.0001701168,0.0002378973,0.00003858233,0.00009272067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006672704,0.00015107,0.9842886,0.0000222971,0.00001879825,0.00005614346,0.001334264,0.0012424,0.003426961,0.00105046,0.004647192,0.003094584],"study_design_scores_gemma":[0.001978192,0.0004627134,0.9945915,0.0001172711,0.000006258925,0.00000214558,0.0001443987,0.0003107975,0.0002825326,0.001046771,0.0009754866,0.00008195217],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866327,0.00001023607,0.001283291,0.001510913,0.00005512555,0.0002907787,0.000009038073,0.00000264921,0.01020528],"genre_scores_gemma":[0.9984111,0.00004723778,0.0006363675,0.00001848802,0.00004892333,0.000003045313,6.943124e-7,0.00001499033,0.0008191881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01177838,"threshold_uncertainty_score":0.4387674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04796530901771881,"score_gpt":0.2942813526088462,"score_spread":0.2463160435911274,"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."}}