{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000566338,0.0002157935,0.0003892527,0.0001959253,0.0002728106,0.000009325838,0.0003744888,0.0002296188,0.00003755617],"category_scores_gemma":[0.0008816945,0.0001144316,0.00007055762,0.00188941,0.0002118514,0.00007591501,0.0001211296,0.0002388279,0.000001479961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001112725,"about_ca_system_score_gemma":0.00004309409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004845129,"about_ca_topic_score_gemma":0.00007252076,"domain_scores_codex":[0.9979874,0.0001041882,0.0006396399,0.0005188588,0.000429925,0.0003200056],"domain_scores_gemma":[0.9981661,0.0003351063,0.0009683423,0.0001861271,0.0002995938,0.00004475927],"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":[0.0001874743,0.0002674614,0.007680187,0.00006459081,0.00002628863,0.000002098333,0.0001902266,0.0006599121,0.9794509,0.0001803492,0.0002329944,0.01105753],"study_design_scores_gemma":[0.0008245548,0.003357086,0.001689178,0.00003901744,0.0001171324,0.0000414408,0.004549392,0.0115018,0.9756834,0.0002310035,0.001569405,0.0003966131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969279,0.0003696129,0.0005709475,0.0006136665,0.0001272578,0.001064111,0.0000930286,0.0002058241,0.00002771762],"genre_scores_gemma":[0.9967977,0.0000249633,0.001679828,0.00002651738,0.0001425173,0.0002342885,0.0009644432,0.000007756292,0.0001220303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01084189,"threshold_uncertainty_score":0.4666384,"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."}}