{"id":"W2754630743","doi":"10.3390/f8090352","title":"Environmental Performance of Eastern Canadian Wood Pellets as Measured Through Life Cycle Assessment","year":2017,"lang":"en","type":"article","venue":"Forests","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Université Laval; Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Pellets; Life-cycle assessment; Renewable energy; Pelletizing; Environmental science; Fossil fuel; Biomass (ecology); Environmental impact assessment; Pellet; Renewable fuels; Wood fuel; Wood processing; Waste management; Torrefaction; Primary energy; Production (economics); Engineering; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005618864,0.0004424089,0.0002153833,0.001172322,0.001113906,0.001163321,0.0006446888,0.0002842463,0.001317571],"category_scores_gemma":[0.0005795601,0.0001506267,0.000507355,0.001532948,0.000325296,0.0003099827,0.0002241059,0.0001852307,0.0002355635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01911311,"about_ca_system_score_gemma":0.006323361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.950513,"about_ca_topic_score_gemma":0.9777617,"domain_scores_codex":[0.9996345,0.00002548393,0.000009949335,0.00004125765,0.0002260008,0.00006281329],"domain_scores_gemma":[0.9994736,0.00006399424,0.00003647325,0.00002172453,0.0003770348,0.00002725719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001187724,0.0003906645,0.376103,0.0004214667,0.0003342397,0.0006778976,0.0005107471,0.3907705,0.07323865,0.002814249,0.002713986,0.1508369],"study_design_scores_gemma":[0.00004532702,0.0007781127,0.6829292,0.00006629106,0.0002482785,0.0001328444,0.001248138,0.2366909,0.05955052,0.0006160105,0.01753013,0.0001642879],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881567,0.0004650971,0.001519203,0.00005007838,0.00000377512,0.00006771774,0.002323156,0.00004540141,0.007368857],"genre_scores_gemma":[0.9920071,0.0004058394,0.001956048,0.00001782846,8.007922e-7,0.00002457381,0.00179348,0.00001208995,0.003782114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04948699,"threshold_uncertainty_score":0.138676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01038380228946583,"score_gpt":0.2181270220139636,"score_spread":0.2077432197244977,"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."}}