{"id":"W4224434758","doi":"10.1139/cjfr-2021-0327","title":"An empirical financial analysis of integrating biomass procurement in sawtimber and pulpwood harvesting in eastern Canada","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Natural Resources Canada","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Resources Canada; FPInnovations; Natural Sciences and Engineering Research Council of Canada; Ministère des Forêts, de la Faune et des Parcs","keywords":"Pulpwood; Bioenergy; Biomass (ecology); Procurement; Forestry; Short rotation forestry; Agroforestry; Raw material; Environmental science; Biofuel; Business; Pulp and paper industry; Agronomy; Engineering; Geography; Waste management; Ecology","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":[0.001171143,0.0003301751,0.0003179783,0.001335449,0.001770078,0.002215268,0.001346046,0.0005847355,0.004172746],"category_scores_gemma":[0.006190085,0.0003432076,0.0005266294,0.003290751,0.001203905,0.0008338566,0.0008506066,0.001038285,0.000224956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04259349,"about_ca_system_score_gemma":0.02407316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9820708,"about_ca_topic_score_gemma":0.9884693,"domain_scores_codex":[0.998947,0.0001117104,0.00005412337,0.0001056914,0.0002893152,0.0004922347],"domain_scores_gemma":[0.9925038,0.002264104,0.001551629,0.0001899879,0.002066657,0.00142395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002237076,0.0001785222,0.9826925,0.00004408405,0.00008623701,0.0003188137,0.0003755665,0.007616119,0.0002695594,0.001157811,0.0007680872,0.006268964],"study_design_scores_gemma":[0.00001545171,0.00006150714,0.9797576,0.00002741838,0.00005446706,0.00007264778,0.002903688,0.01555102,0.0001837694,0.0001727734,0.001179489,0.00002014757],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972616,0.0001356143,0.00009779969,0.0001350827,0.000001446562,0.00002788455,0.001053681,0.000004747556,0.00128211],"genre_scores_gemma":[0.9980657,0.0001328674,0.0001027976,0.00002277419,0.000001518199,0.00000905222,0.0008180075,0.000002027688,0.00084535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04259349,"threshold_uncertainty_score":0.3090389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04421563956578627,"score_gpt":0.3116388132366163,"score_spread":0.26742317367083,"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."}}