{"id":"W2054450770","doi":"10.1016/j.biortech.2015.04.095","title":"Investigation of uncertainties associated with the production of n-butanol through ethanol catalysis in sugarcane biorefineries","year":2015,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Biorefinery; Biofuel; Production (economics); Butanol; Ethanol fuel; Integrated production; Bioenergy; Biochemical engineering; Investment (military); Incentive; Tonne; Revenue; Pulp and paper industry; Environmental economics; Environmental science; Biotechnology; Economics; Business; Waste management; Chemistry; Engineering; Ethanol; Microeconomics; Organic chemistry","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":[0.009455309,0.0004757486,0.0004796912,0.001053348,0.0007536659,0.002320739,0.0007669751,0.0008733793,0.0004454595],"category_scores_gemma":[0.04181094,0.0003397169,0.0005431343,0.0009683768,0.0007861385,0.001187015,0.0007815757,0.0009568935,0.00006509828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003233472,"about_ca_system_score_gemma":0.001862583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01028051,"about_ca_topic_score_gemma":0.007653493,"domain_scores_codex":[0.9958263,0.001332031,0.0002520479,0.0004668187,0.001895226,0.0002275468],"domain_scores_gemma":[0.9451567,0.0466338,0.003066017,0.001250815,0.003695794,0.0001967911],"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":[0.003090001,0.0002068746,0.1211718,0.0006961618,0.0005917858,0.00124994,0.0007537192,0.7456725,0.04676254,0.02164339,0.0005720069,0.0575893],"study_design_scores_gemma":[0.000100716,0.0009185122,0.1036933,0.0002998458,0.0005368436,0.000602633,0.002096483,0.5954637,0.2421872,0.04701377,0.006811338,0.0002756801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554343,0.001476364,0.03652862,0.0008292545,0.00005057807,0.00004953986,0.000432346,0.00005417589,0.005144811],"genre_scores_gemma":[0.9976513,0.0002075125,0.001821461,0.00002641335,0.000008430096,0.00001141696,0.00009675248,0.000007866397,0.0001688489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01028051,"threshold_uncertainty_score":0.05000502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02195284960599119,"score_gpt":0.2044534411393302,"score_spread":0.182500591533339,"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."}}