{"id":"W2121047968","doi":"10.1111/1475-3995.00423","title":"Modeling alternative zoning strategies in forest management","year":2003,"lang":"en","type":"article","venue":"International Transactions in Operational Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; Ministry of Natural Resources","keywords":"Zoning; Production (economics); Silviculture; Forest management; Wood production; Offset (computer science); Business; Natural resource economics; Environmental resource management; Environmental economics; Environmental science; Computer science; Agroforestry; Economics; Civil engineering; Engineering; Microeconomics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001870642,0.0007968526,0.0007992606,0.001226377,0.0008161841,0.002517306,0.001530729,0.00221964,0.01096564],"category_scores_gemma":[0.004180209,0.0005583439,0.0006817839,0.001469722,0.001760641,0.002223399,0.001378846,0.00135402,0.0003334542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004813335,"about_ca_system_score_gemma":0.001903012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04967029,"about_ca_topic_score_gemma":0.04166299,"domain_scores_codex":[0.9991635,0.000433941,0.00002032496,0.0001016793,0.00006969997,0.0002108838],"domain_scores_gemma":[0.9985223,0.0009156442,0.0002327746,0.0000531053,0.0001327664,0.0001433489],"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":[0.00002706371,0.00002430521,0.0003226479,0.00001640766,0.0000118124,0.00002447842,0.0000259079,0.970943,0.0000823737,0.02683854,0.0002685086,0.00141495],"study_design_scores_gemma":[0.00002198376,0.00002731736,0.0001961009,0.000008520564,0.00000856727,0.000005079164,0.00007007719,0.9836828,0.00003155227,0.01509759,0.0008437069,0.000006676568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6253922,0.001930256,0.2972392,0.002836322,0.0001559698,0.0004715016,0.001306626,0.0003234782,0.07034451],"genre_scores_gemma":[0.9778179,0.0004169884,0.01294834,0.00006190813,0.00001866326,0.0001447872,0.0001137402,0.00002491459,0.008452849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04967029,"threshold_uncertainty_score":0.09876233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07637221617081198,"score_gpt":0.3928528409685976,"score_spread":0.3164806247977857,"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."}}