{"id":"W4320919775","doi":"10.3390/en16041914","title":"Technoeconomic Feasibility of Bioenergy Production from Wood Sawdust","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"","keywords":"Sawdust; Bioenergy; Torrefaction; Pellets; Furfural; Pulp and paper industry; Biorefinery; Raw material; Environmental science; Waste management; Payback period; Pelletizing; Net present value; Heat of combustion; Renewable energy; Internal rate of return; Pellet; Biomass (ecology); Biofuel; Production (economics); Engineering; Chemistry; Materials science; Pyrolysis; Agronomy; Composite material; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0008402758,0.000543185,0.0004096014,0.0006550492,0.0003634085,0.001446026,0.0004956392,0.0008666992,0.002708195],"category_scores_gemma":[0.001107144,0.0003314382,0.000696368,0.0006153349,0.0004436763,0.0009950574,0.0003629342,0.0005603032,0.0002237395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321512,"about_ca_system_score_gemma":0.0008010151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003445778,"about_ca_topic_score_gemma":0.00352337,"domain_scores_codex":[0.9995945,0.0001201241,0.00001360891,0.00004299972,0.0001319361,0.0000969413],"domain_scores_gemma":[0.999411,0.0003896816,0.00006318087,0.00002710638,0.00007962232,0.00002950165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004526187,0.0001384632,0.004730711,0.0001080606,0.00003975715,0.0006657698,0.00002111989,0.9694977,0.01672506,0.001635304,0.0001097621,0.005875709],"study_design_scores_gemma":[0.0001124576,0.0015693,0.01174714,0.00004308024,0.00007827524,0.0002700814,0.0003798518,0.9463217,0.03544488,0.002558792,0.001419386,0.00005504022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858897,0.000208812,0.006039103,0.00006645462,0.00001448787,0.00005595582,0.00022827,0.0000267547,0.007470498],"genre_scores_gemma":[0.9986445,0.00007266505,0.0006809055,0.000004681389,9.124892e-7,0.00002195744,0.000082806,0.000004896882,0.0004866305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003445778,"threshold_uncertainty_score":0.009588242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02066176915708338,"score_gpt":0.218822999838317,"score_spread":0.1981612306812336,"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."}}