{"id":"W2493933140","doi":"10.1007/978-3-319-30205-8_5","title":"Pretreatment Processes for Cellulosic Ethanol Production: Processes Integration and Modeling for the Utilization of Lignocellulosics Such as Sugarcane Straw","year":2016,"lang":"en","type":"book-chapter","venue":"Green energy and technology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"FPInnovations","funders":"","keywords":"Cellulosic ethanol; Biorefinery; Steam explosion; Ethanol fuel; Pulp and paper industry; Fermentation; Hydrolysis; Biofuel; Chemistry; Biomass (ecology); Straw; Enzymatic hydrolysis; Ethanol fermentation; Capital cost; Waste management; Environmental science; Cellulose; Engineering; Biochemistry; Agronomy","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":[0.0001512072,0.0009433235,0.0006483368,0.0001584401,0.0002672832,0.0008570114,0.0006389472,0.0006706985,0.002559339],"category_scores_gemma":[0.0001294458,0.0004666623,0.0008431536,0.0006886957,0.0001960047,0.001231012,0.0003290401,0.001048176,0.001188577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00073183,"about_ca_system_score_gemma":0.0008909841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00407972,"about_ca_topic_score_gemma":0.00607718,"domain_scores_codex":[0.9999148,0.000006334299,0.000003260512,0.00001837731,0.00004827641,0.000009009054],"domain_scores_gemma":[0.9999733,0.000009738392,0.000003185068,0.000003252327,0.000008878566,0.000001640954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001242487,0.0004090189,0.0005325457,0.001828577,0.00009398333,0.0001977566,0.0002286431,0.3768467,0.1605861,0.03369777,0.0194392,0.4060154],"study_design_scores_gemma":[0.00002893741,0.0001738451,0.001290387,0.0001998508,0.00009990916,0.000186568,0.0001242136,0.6516832,0.1798149,0.01984775,0.1464658,0.00008467753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08018777,0.07922956,0.7556522,0.00146415,0.0008335818,0.0002106349,0.001111926,0.001881944,0.07942826],"genre_scores_gemma":[0.3993438,0.1268982,0.340243,0.000380668,0.0002867346,0.0002796204,0.003145193,0.0009830908,0.1284398],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00407972,"threshold_uncertainty_score":0.00856185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02784897793305061,"score_gpt":0.2222314074303842,"score_spread":0.1943824294973336,"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."}}