{"id":"W4233479247","doi":"10.1515/energyo.0137.00001","title":"Biomass processing into ethanol: pretreatment, enzymatic hydrolysis, fermentation, rheology, and mixing","year":2019,"lang":"en","type":"dataset","venue":"","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Biomass (ecology); Biofuel; Raw material; Enzymatic hydrolysis; Fermentation; Pulp and paper industry; Lignocellulosic biomass; Commercialization; Ethanol fuel; Rheology; Renewable energy; Hydrolysis; Biotechnology; Renewable fuels; Waste management; Chemistry; Process engineering; Food science; Materials science; Agronomy; Engineering; Biochemistry; Organic chemistry; Business; Biology","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":[0.001114595,0.002154247,0.001856479,0.00455858,0.0005523305,0.001808944,0.001936802,0.001460894,0.02339895],"category_scores_gemma":[0.00581906,0.0003823881,0.002416702,0.007758015,0.0003067738,0.001267471,0.001517,0.00114624,0.02756635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001246413,"about_ca_system_score_gemma":0.002067622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01632851,"about_ca_topic_score_gemma":0.03572135,"domain_scores_codex":[0.9987348,0.0002213743,0.0002849499,0.0003370083,0.0002692903,0.0001525994],"domain_scores_gemma":[0.9979466,0.0007562644,0.0003851147,0.0003139562,0.0004946527,0.0001035156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009180912,0.0001226908,0.011333,0.03054225,0.0009113686,0.0001980638,0.00008430284,0.002686048,0.001508044,0.001425374,0.9021479,0.04812281],"study_design_scores_gemma":[0.0002238419,0.00006355719,0.01324536,0.003018685,0.000329844,0.0001459169,0.00008000676,0.0006389399,0.001001256,0.001751094,0.9794469,0.00005449435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006218356,0.002183591,0.0001920341,0.000110762,0.00003743799,0.00002271872,0.9955759,0.0002947777,0.0009610131],"genre_scores_gemma":[0.0009537987,0.001532599,0.0005462761,0.00009800011,0.000008760641,0.00007161354,0.9961273,0.00004142058,0.0006202616],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02339895,"threshold_uncertainty_score":0.07827723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204739380367392,"score_gpt":0.2442413899880343,"score_spread":0.2321939961843603,"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."}}