{"id":"W4221074762","doi":"10.1016/j.biortech.2022.127012","title":"Mycoremediation of lignocellulosic biorefinery sludge: A reinvigorating approach for organic contaminants remediation with simultaneous production of lignocellulolytic enzyme cocktail","year":2022,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Enzyme-mediated dye degradation","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Consejo Nacional de Ciencia y Tecnología; Department of Science and Technology, Ministry of Science and Technology, India; Université de Sherbrooke","keywords":"Chemistry; Laccase; Lignin peroxidase; Fermentation; Cellulase; Food science; Biorefinery; Pulp and paper industry; Organic chemistry; Raw material; Hydrolysis; Enzyme","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009946115,0.0004093027,0.0002659712,0.0001606365,0.0001439324,0.0003775411,0.0001766609,0.0003277589,0.0003406482],"category_scores_gemma":[0.00006643806,0.0001034606,0.0003425802,0.0002078809,0.0001147545,0.0002160462,0.0003207995,0.0004300522,0.0002250347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001568049,"about_ca_system_score_gemma":0.0002425222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004841593,"about_ca_topic_score_gemma":0.001479323,"domain_scores_codex":[0.9999062,0.00001330095,0.000008515175,0.00002253711,0.00002926641,0.00002020724],"domain_scores_gemma":[0.9999688,0.000003249804,0.000009160745,0.000005087188,0.000005979909,0.000007808307],"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":[0.00001134444,0.000008495699,0.00004566967,0.00001306515,0.000001957249,0.00001806188,0.000004097625,0.00002988282,0.9986653,0.0000291128,0.000008692956,0.001164357],"study_design_scores_gemma":[0.000001930832,0.00006390428,0.0005450468,0.000002926933,0.000007979771,0.00007083044,0.000007746099,0.000363918,0.9979431,0.00001200215,0.0009786022,0.000001983912],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822289,0.001776734,0.01378538,0.0001427899,0.00005467749,0.00004047719,0.0001520528,0.0001294928,0.001689493],"genre_scores_gemma":[0.9833709,0.001322672,0.0115349,0.00005600315,0.000007492488,0.00002129286,0.0002182875,0.00001786355,0.003450621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004841593,"threshold_uncertainty_score":0.001139581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188950391626388,"score_gpt":0.1916233427991613,"score_spread":0.1797338388828974,"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."}}