{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002070422,0.0001910584,0.0004133277,0.0004425331,0.0004952998,0.001460903,0.000652614,0.0004933637,0.001032996],"category_scores_gemma":[0.00566066,0.0001855977,0.0001844557,0.000582345,0.000388407,0.0011241,0.0006791008,0.0006057693,0.0002550329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005101325,"about_ca_system_score_gemma":0.0003656467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003515011,"about_ca_topic_score_gemma":0.01766154,"domain_scores_codex":[0.9992279,0.0002323766,0.00006221606,0.0002110694,0.0001474408,0.0001189768],"domain_scores_gemma":[0.9947006,0.002917313,0.0009860074,0.0006364805,0.0004524896,0.0003072167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004117723,0.0003008729,0.861289,0.00006261576,0.0001329777,0.0002158793,0.0005396337,0.04009103,0.02605453,0.001195102,0.0008410683,0.06886561],"study_design_scores_gemma":[0.000008284378,0.0001165133,0.9761596,0.00001261652,0.00002285362,0.0001556712,0.0006681577,0.01791739,0.001567632,0.002450978,0.0008934566,0.00002675945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898934,0.0001398713,0.007963382,0.0001494775,0.000008200162,0.000008796415,0.0001380639,0.00005750311,0.00164134],"genre_scores_gemma":[0.9969086,0.00003744926,0.002770938,0.00003140375,0.000006650935,0.000006057507,0.0001011806,0.0000186038,0.0001190528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003515011,"threshold_uncertainty_score":0.01094961,"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."}}