{"id":"W1964141033","doi":"10.5558/tfc86020-1","title":"Coping with complexity: Designing low-impact forest bioenergy systems using an adaptive forest management framework and other sustainable forest management tools","year":2010,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sustainability; Sustainable forest management; Business; Certified wood; Bioenergy; Forest management; Adaptive management; Ecoforestry; Environmental resource management; Sustainable management; Certification; Sustainable development; Forest ecology; Natural resource economics; Environmental economics; Agroforestry; Environmental science; Renewable energy; Intact forest landscape; Ecosystem; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002361784,0.0004238518,0.0002877256,0.000492624,0.001541451,0.00233062,0.001114494,0.0009589357,0.002379294],"category_scores_gemma":[0.002403668,0.0002255253,0.000569027,0.0003658581,0.002062422,0.002832877,0.001835811,0.001034884,0.0001920361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001740259,"about_ca_system_score_gemma":0.003458587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007042299,"about_ca_topic_score_gemma":0.01483104,"domain_scores_codex":[0.9989761,0.0004871049,0.00003855268,0.0001136867,0.0002192964,0.000165328],"domain_scores_gemma":[0.9992214,0.0003607276,0.00008834418,0.0001123035,0.0001139282,0.0001032862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006203474,0.0003852977,0.004297839,0.0002591001,0.00006538803,0.0004330225,0.002231201,0.6299706,0.01218248,0.1900475,0.001719516,0.158346],"study_design_scores_gemma":[0.00008490589,0.0003798659,0.002458595,0.0001372233,0.00007698384,0.0002088594,0.002733602,0.761308,0.005772203,0.1858685,0.04090544,0.00006575501],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1283323,0.0003256372,0.8361238,0.001697326,0.00005696551,0.0005303452,0.00003150111,0.000332954,0.0325692],"genre_scores_gemma":[0.664993,0.0002901185,0.3308291,0.0001730464,0.00002106653,0.0003851818,0.00007093287,0.00005584741,0.00318159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007042299,"threshold_uncertainty_score":0.01400262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03269704580870739,"score_gpt":0.2684290502257174,"score_spread":0.2357320044170101,"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."}}