{"id":"W2584731665","doi":"10.1016/j.jclepro.2017.01.165","title":"Hydrous bioethanol production from sugarcane bagasse via energy self-sufficient gasification-fermentation hybrid route: Simulation and financial analysis","year":2017,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"BE-Basic Foundation; Università degli Studi di Cagliari; Diagnostic Services Manitoba","keywords":"Bagasse; Biomass (ecology); Biofuel; Raw material; Ethanol fuel; Syngas; Internal rate of return; Bioenergy; Production (economics); Yield (engineering); Net present value; Pulp and paper industry; Tonne; Environmental science; Waste management; Economics; Chemistry; Engineering; Microeconomics; Agronomy; Materials science; Catalysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002583673,0.0004284675,0.0005510632,0.0005427705,0.0004527017,0.0008255757,0.0003974705,0.000908774,0.002422839],"category_scores_gemma":[0.0005530679,0.0002607126,0.0006840302,0.00047596,0.0003000534,0.0006546261,0.0002586552,0.0004344971,0.0001293983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001200759,"about_ca_system_score_gemma":0.0009248362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02842032,"about_ca_topic_score_gemma":0.01818311,"domain_scores_codex":[0.9999557,0.00001013204,0.000002334148,0.000007763334,0.000007942497,0.00001612854],"domain_scores_gemma":[0.9996763,0.0002125258,0.00003406382,0.00001184255,0.0000436814,0.00002145016],"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":[0.0001584806,0.0001446189,0.001907218,0.00003950659,0.00002245439,0.0001106838,0.00001141452,0.9919236,0.002216408,0.00118293,0.000126507,0.002156053],"study_design_scores_gemma":[0.00002751436,0.00008090314,0.0005192955,0.000002465998,0.00001051428,0.000008948173,0.000024597,0.9973547,0.001621658,0.0002451206,0.00009842527,0.000005823354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933718,0.0001223173,0.002197849,0.00009358377,0.00001408766,0.00001579677,0.0002374708,0.00003009265,0.003916985],"genre_scores_gemma":[0.9980053,0.00007517406,0.0008117649,0.000007200446,0.000001780817,0.00001158481,0.00008013142,0.000003886158,0.00100311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02842032,"threshold_uncertainty_score":0.05650979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181311333752293,"score_gpt":0.2376431370053941,"score_spread":0.2258300236678711,"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."}}