{"id":"W1528219361","doi":"","title":"A HIERARCHICAL TIMBER ALLOCATION MODEL TO ANALYZE SUSTAINABLE FOREST MANAGEMENT DECISIONS","year":2010,"lang":"en","type":"article","venue":"","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Profit (economics); Sustainability; Recreation; Forest management; Environmental economics; Production (economics); Computer science; Business; Stewardship (theology); Environmental resource management; Operations research; Environmental science; Agroforestry; Economics; Engineering; Microeconomics","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":[0.001976552,0.0007122699,0.000686022,0.0007711176,0.0006571417,0.001266778,0.001714887,0.0013693,0.007655044],"category_scores_gemma":[0.002673293,0.0005686507,0.0008289843,0.0009639023,0.0009198884,0.001300311,0.0009181687,0.001192371,0.0006081733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003810535,"about_ca_system_score_gemma":0.003356317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02933063,"about_ca_topic_score_gemma":0.0267793,"domain_scores_codex":[0.999176,0.0004027166,0.00002753927,0.0001056198,0.0001311503,0.0001570044],"domain_scores_gemma":[0.9988518,0.0007655303,0.0001037492,0.00003447941,0.0001531167,0.00009134701],"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":[0.00001639196,0.00001902803,0.0002646554,0.00001382419,0.00001020165,0.00002850257,0.00002757681,0.9861417,0.0001417138,0.01106133,0.000222711,0.002052389],"study_design_scores_gemma":[0.000005908849,0.000008014766,0.00005907354,0.00000250514,0.000002902022,0.00000274175,0.00000999093,0.9967507,0.00002532617,0.002944844,0.0001858988,0.000002105385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1077124,0.0003262713,0.8656233,0.0008136509,0.00005715236,0.0002342569,0.0004009365,0.0002956773,0.02453645],"genre_scores_gemma":[0.8615403,0.0002217211,0.1249419,0.0001319683,0.00002980403,0.0004456963,0.0002612877,0.00006899101,0.01235828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02933063,"threshold_uncertainty_score":0.05831975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015886551684776,"score_gpt":0.2598601548668275,"score_spread":0.2497012893499797,"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."}}