{"id":"W2159568318","doi":"10.1385/abab:105:1-3:231","title":"Wood-Ethanol for Climate Change Mitigation in Canada","year":2003,"lang":"en","type":"article","venue":"Applied Biochemistry and Biotechnology","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Canadian Forest Service; Government of Canada","keywords":"Greenhouse gas; Climate change mitigation; Environmental science; United Nations Framework Convention on Climate Change; Biomass (ecology); Carbon offset; Fossil fuel; Ethanol fuel; Carbon sequestration; Climate change; Waste management; Environmental protection; Natural resource economics; Biofuel; Carbon dioxide; Kyoto Protocol; Engineering; 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":[0.0004220967,0.0001907819,0.0001576864,0.0005976461,0.002656399,0.001279794,0.0006120933,0.0004235913,0.004349149],"category_scores_gemma":[0.0005635977,0.0001118771,0.0002378277,0.0007534964,0.0002585166,0.0003630669,0.0004210654,0.0006254208,0.0001456545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04974258,"about_ca_system_score_gemma":0.09811455,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.996693,"about_ca_topic_score_gemma":0.9991195,"domain_scores_codex":[0.9996638,0.00002387035,0.000006528548,0.00002220961,0.0001076192,0.000175942],"domain_scores_gemma":[0.9995641,0.00002761721,0.00001503872,0.000006704406,0.0002687837,0.000117781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002603917,0.001017754,0.1441779,0.0007886688,0.000276868,0.002299332,0.001887274,0.0377633,0.01924185,0.1120566,0.1406299,0.5372567],"study_design_scores_gemma":[0.0003741781,0.0003946222,0.3795156,0.0003781485,0.0002716109,0.0002671994,0.008132434,0.03479795,0.02578979,0.006823185,0.5431106,0.0001446408],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.829276,0.01121822,0.00223627,0.02387267,0.0003413955,0.000211925,0.003441017,0.0002123134,0.1291902],"genre_scores_gemma":[0.9264646,0.003955652,0.001992911,0.001140882,0.0000160636,0.00001761261,0.0007108636,0.00002331668,0.06567816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04974258,"threshold_uncertainty_score":0.3609093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076361370614009,"score_gpt":0.1825321582383803,"score_spread":0.1717685445322402,"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."}}