{"id":"W2805951817","doi":"10.1002/wene.298","title":"Salvage harvesting for bioenergy in Canada: From sustainable and integrated supply chain to climate change mitigation","year":2018,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Energy and Environment","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Natural Resources Canada; University of British Columbia; Queen's University; Canadian Forest Service","funders":"Natural Resources Canada; BioFuelNet Canada","keywords":"Bioenergy; Biomass (ecology); Supply chain; Greenhouse gas; Environmental science; Natural resource economics; Raw material; Renewable energy; Climate change mitigation; Sustainability; Business; Biofuel; Waste management; Engineering; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0007271612,0.0004212782,0.0002690638,0.001417444,0.005293389,0.003605305,0.001346246,0.0006530368,0.002977121],"category_scores_gemma":[0.0009082123,0.0002523063,0.0004214379,0.003657581,0.00194619,0.001261719,0.001256199,0.001085345,0.0002326846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1240719,"about_ca_system_score_gemma":0.2129866,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954486,"about_ca_topic_score_gemma":0.9989296,"domain_scores_codex":[0.998989,0.0000516384,0.00002488032,0.00008472068,0.0005216084,0.0003280773],"domain_scores_gemma":[0.9989545,0.00006540341,0.00008033853,0.00001794049,0.000557593,0.0003241845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004703032,0.0002937312,0.08551788,0.002917486,0.0001770742,0.00347045,0.008798168,0.01647448,0.02192483,0.0824226,0.05934829,0.7181846],"study_design_scores_gemma":[0.00004915546,0.0002756684,0.2573293,0.002455105,0.0002613184,0.0009439442,0.03012604,0.01357792,0.01052273,0.01755523,0.6665473,0.0003562253],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6128596,0.1177934,0.01570972,0.06709132,0.0005890985,0.0004381025,0.003473723,0.0003204512,0.1817246],"genre_scores_gemma":[0.8494091,0.08004235,0.01902687,0.004581818,0.00007147872,0.00005586871,0.001359404,0.00008702572,0.0453661],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1240719,"threshold_uncertainty_score":0.9002091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01285875533459814,"score_gpt":0.2167223127211255,"score_spread":0.2038635573865274,"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."}}