{"id":"W3184891210","doi":"10.1016/j.rser.2021.111480","title":"Utilization of forestry waste materials in British Columbia: Options and strategies","year":2021,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Pacific Institute for Climate Solutions","keywords":"Greenhouse gas; Waste management; Cogeneration; Bioenergy; Tonne; Renewable energy; Environmental science; Primary energy; Life-cycle assessment; Electricity generation; Biomass (ecology); Biofuel; Engineering; Environmental engineering; Production (economics); Economics","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":[0.0003518847,0.0004208531,0.0001931093,0.001406614,0.002540374,0.002700331,0.0006981366,0.0007255857,0.002461829],"category_scores_gemma":[0.0003466354,0.0001361248,0.0001426499,0.003138229,0.0008613528,0.000599691,0.0006882101,0.0007987866,0.0002321556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01825184,"about_ca_system_score_gemma":0.02779818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9045159,"about_ca_topic_score_gemma":0.9844929,"domain_scores_codex":[0.9995944,0.00003979434,0.00001691551,0.00003333088,0.0001554033,0.0001601406],"domain_scores_gemma":[0.9997184,0.00003781281,0.0000286453,0.000006378168,0.000161919,0.00004690583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001810495,0.0002624302,0.02036639,0.003616516,0.00007470857,0.0015795,0.002848825,0.005097374,0.02866104,0.01873081,0.02405629,0.8945251],"study_design_scores_gemma":[0.0000203625,0.000174256,0.1243565,0.003532334,0.0001741344,0.0009824319,0.02208204,0.002241798,0.03408214,0.004007013,0.8082002,0.0001467657],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3527689,0.4500059,0.001390599,0.01214375,0.0003040789,0.00009411881,0.0003853105,0.00006067716,0.1828467],"genre_scores_gemma":[0.564716,0.3575311,0.002784823,0.001775652,0.00003754371,0.00003360057,0.0002776342,0.00002426322,0.07281931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09548408,"threshold_uncertainty_score":0.1920928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109699992873648,"score_gpt":0.2155367963366958,"score_spread":0.2044397964079594,"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."}}