{"id":"W2096661440","doi":"10.1139/cjfr-2014-0315","title":"A mixed integer programming model to evaluate integrating strategies in the forest value chain — a case study in the Chilean forest industry","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Time horizon; Forest management; Forest inventory; Supply chain; Net present value; Integrated business planning; Integer programming; Forest industry; Present value; Stock (firearms); Production (economics); Operations research; Business; Computer science; Forestry; Agroforestry; Environmental science; Economics; Engineering; Marketing; Geography; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003071991,0.002098205,0.001474703,0.001413368,0.0008972201,0.002993311,0.001893732,0.003063607,0.005977859],"category_scores_gemma":[0.005316515,0.001050071,0.001533808,0.001698738,0.001010607,0.001499731,0.001267773,0.002299567,0.0003031913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00447717,"about_ca_system_score_gemma":0.003681827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05460299,"about_ca_topic_score_gemma":0.03094728,"domain_scores_codex":[0.9990037,0.0005807314,0.00003418469,0.0001083162,0.00008493712,0.0001881311],"domain_scores_gemma":[0.9941311,0.004852057,0.0003325966,0.00005960279,0.0004167536,0.0002077917],"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":[0.00003367842,0.00005022556,0.0004072317,0.00003820708,0.00001873806,0.00007186388,0.00001941733,0.9950746,0.00008128092,0.002767998,0.0002050146,0.001231754],"study_design_scores_gemma":[0.00001295786,0.00002490181,0.00009685122,0.000008173502,0.000008206321,0.000003883148,0.00002736137,0.9989057,0.00003450301,0.0007069894,0.0001658663,0.000004615616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4675069,0.001978147,0.4804438,0.002825304,0.0002035921,0.0008613098,0.002717092,0.0004684399,0.04299548],"genre_scores_gemma":[0.9010895,0.0007138234,0.08652178,0.0002289339,0.00005508264,0.0009695711,0.0008671854,0.00008736989,0.009466762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05460299,"threshold_uncertainty_score":0.1085703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1698078381901452,"score_gpt":0.3889162424795828,"score_spread":0.2191084042894376,"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."}}