{"id":"W2801881917","doi":"10.1021/acssuschemeng.7b04518","title":"Recombinant <i>E. coli</i> Cellulases, β-Glucosidase, and Polygalacturonase Convert a Citrus Processing Waste into Biofuel Precursors","year":2018,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Ministry of Higher Education","keywords":"Xylose; Bioconversion; Chemistry; Corn stover; Bagasse; Cellulase; Food science; Cellobiose; Rhamnose; Lignocellulosic biomass; Arabinose; Lignin; Sugar; Biofuel; Cellulose; Biochemistry; Polysaccharide; Biotechnology; Fermentation; Organic chemistry; 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":[0.0001880605,0.0006089191,0.0002759426,0.0001862462,0.0000933169,0.0003760208,0.0002395546,0.0002222493,0.0002744416],"category_scores_gemma":[0.0001523782,0.0001508045,0.0003392867,0.0004397429,0.0001128483,0.0001948867,0.0001669099,0.000394413,0.0002984904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002119171,"about_ca_system_score_gemma":0.0001949438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008094585,"about_ca_topic_score_gemma":0.0008813349,"domain_scores_codex":[0.9997968,0.00002461949,0.00002309107,0.00004208295,0.00007069155,0.00004266022],"domain_scores_gemma":[0.9999367,0.000006328617,0.00002043105,0.000009409542,0.00001538886,0.00001182013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002762932,0.00002849337,0.0002788278,0.00002106812,0.000004323547,0.00002330886,0.000005778785,0.00004956851,0.9985519,0.00003572306,0.0000159029,0.0009574461],"study_design_scores_gemma":[0.000003583097,0.00007892902,0.002071762,0.000003161843,0.0000091091,0.0001146416,0.00001298988,0.0003930404,0.9961079,0.00002075802,0.001181484,0.0000026567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903043,0.0008960168,0.006929374,0.00006346989,0.00001504727,0.00005818167,0.0007606014,0.00008078503,0.0008922219],"genre_scores_gemma":[0.9726334,0.0011931,0.01845628,0.00005876454,0.000008472256,0.00005937439,0.003975576,0.00003942771,0.003575529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008094585,"threshold_uncertainty_score":0.001609445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002990806405825257,"score_gpt":0.1727373734603896,"score_spread":0.1697465670545644,"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."}}