{"id":"W2098923136","doi":"10.5558/tfc85377-3","title":"Toward full, multiple, and optimal wood fibre utilization: A modeling perspective","year":2009,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Canadian Forest Service; U.S. Forest Service; FPInnovations","keywords":"Valuation (finance); Business; Context (archaeology); Forest management; Value (mathematics); Perspective (graphical); Environmental economics; Environmental resource management; Environmental science; Computer science; Agroforestry; Economics; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009681038,0.0006920789,0.000534336,0.0007600475,0.0008194072,0.002395417,0.001248704,0.001264933,0.001882639],"category_scores_gemma":[0.001231469,0.0004007186,0.0007633611,0.001314221,0.001664968,0.002034764,0.0009566853,0.000911504,0.0001358315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004730539,"about_ca_system_score_gemma":0.005430442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1472983,"about_ca_topic_score_gemma":0.1715731,"domain_scores_codex":[0.9996966,0.0001283126,0.00000847458,0.00003556955,0.00006523992,0.00006586526],"domain_scores_gemma":[0.9996699,0.0001726787,0.00004797369,0.00001672264,0.00005292498,0.00003977875],"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":[0.00001247982,0.00002241461,0.001115339,0.00002961704,0.00001380819,0.00005043538,0.000128847,0.8946536,0.000276898,0.1000985,0.0004344654,0.003163761],"study_design_scores_gemma":[0.00000697834,0.00001552475,0.0004464581,0.00002701743,0.00001343617,0.00002474353,0.000198226,0.9422478,0.0001405079,0.05320497,0.003658135,0.00001616352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2884879,0.003163952,0.549624,0.007181297,0.00006447711,0.0001250474,0.00070678,0.000204131,0.1504425],"genre_scores_gemma":[0.9192735,0.002762723,0.06761473,0.0002112385,0.00004307208,0.0001434949,0.0001702009,0.00005794207,0.009723078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1472983,"threshold_uncertainty_score":0.2928819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02968496280225242,"score_gpt":0.2467798593782938,"score_spread":0.2170948965760414,"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."}}