{"id":"W4220940903","doi":"10.3390/land11030446","title":"Forest Management under Climate Change: A Decision Analysis of Thinning Interventions for Water Services and Biomass in a Norway Spruce Stand in South Germany","year":2022,"lang":"en","type":"article","venue":"Land","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"European Commission","keywords":"Thinning; Environmental science; Biomass (ecology); Evapotranspiration; Forest management; Climate change; Silviculture; Agroforestry; Agronomy; Forestry; Ecology; Geography; Biology","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":[0.001379255,0.0006175334,0.0005779937,0.0004086574,0.000358314,0.000747224,0.0007155468,0.0007239922,0.0007843149],"category_scores_gemma":[0.001319938,0.0002716403,0.001007374,0.0003715327,0.0005572073,0.0004752985,0.0003136203,0.0005120788,0.00005578876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003308939,"about_ca_system_score_gemma":0.00122102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08284362,"about_ca_topic_score_gemma":0.09808027,"domain_scores_codex":[0.9995728,0.0001546725,0.00002098201,0.00007862424,0.00003492271,0.0001380585],"domain_scores_gemma":[0.9991296,0.0004848337,0.0001345235,0.00003323056,0.00006360138,0.0001542805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001827535,0.001270797,0.238786,0.0001081223,0.0005716014,0.001316883,0.0002141112,0.743121,0.005187449,0.0009476572,0.0004689539,0.006179893],"study_design_scores_gemma":[0.0001558049,0.0008263669,0.295853,0.00001500704,0.0003175408,0.0000551179,0.0007478407,0.6997916,0.001458272,0.0004053234,0.0003236655,0.00005059528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996278,0.00002144426,0.0001383925,0.00002004429,0.000002058736,0.000007949243,0.00008827489,0.000002811678,0.00009133676],"genre_scores_gemma":[0.9994698,0.00002330842,0.0002564481,0.000008964354,0.000001625937,0.000008989901,0.0001247527,0.00000144575,0.0001047378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08284362,"threshold_uncertainty_score":0.1647228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01588187423704956,"score_gpt":0.2490537846430808,"score_spread":0.2331719104060312,"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."}}