{"id":"W2515426222","doi":"10.1007/s12649-016-9686-y","title":"Production of Trichoderma Reesei RUT C-30 Lignocellulolytic Enzymes Using Paper Sludge as Fermentation Substrate: An Approach for On-Site Manufacturing of Enzymes for Biorefineries","year":2016,"lang":"en","type":"article","venue":"Waste and Biomass Valorization","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Trichoderma reesei; Corn stover; Xylanase; Chemistry; Cellulase; Fermentation; Beta-glucosidase; Pulp and paper industry; Lignin; Cellulose; Food science; Hydrolysis; Enzymatic hydrolysis; Biotechnology; Biochemistry; Enzyme; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001716492,0.0001658114,0.0001815431,0.000194892,0.00008415174,0.00002159816,0.00005180985,0.0001194161,0.000009118748],"category_scores_gemma":[0.00002489154,0.0001224719,0.00005563717,0.0001317982,0.00005659542,0.000441275,0.000009638757,0.00002523659,7.34802e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003698188,"about_ca_system_score_gemma":0.00001552911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001159641,"about_ca_topic_score_gemma":7.601764e-7,"domain_scores_codex":[0.99909,0.00002323685,0.0003178239,0.0002828895,0.0001307685,0.0001553546],"domain_scores_gemma":[0.9995424,0.00002517898,0.000136576,0.0001506934,0.0001034982,0.00004169474],"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":[0.000185311,0.0000562438,0.0002735011,0.0009661958,0.0000336221,6.760832e-8,0.0001704278,0.0004117084,0.993003,0.0003239641,0.0001318734,0.00444408],"study_design_scores_gemma":[0.0007250981,0.0002678956,0.000675776,0.0000679097,0.00005902414,0.000003168429,0.0003106159,0.005557789,0.9916987,0.0001279,0.0003359252,0.0001701805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966342,0.0001794951,0.0320952,0.0001137681,0.0004288187,0.0006685333,0.00004871433,0.00007300603,0.00005044645],"genre_scores_gemma":[0.9966366,0.0001167357,0.002596707,0.000008535744,0.0002450988,0.00003046715,0.000156879,0.0000281858,0.0001807673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0302946,"threshold_uncertainty_score":0.4994258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02603579194224863,"score_gpt":0.2367164112329772,"score_spread":0.2106806192907286,"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."}}