{"id":"W4281399059","doi":"10.1016/j.biortech.2022.127374","title":"Efficacious bioconversion of waste walnut shells to xylotetrose and xylopentose by free xylanase (Xy) and MOF immobilized xylanase (Xy-Cu-BTC)","year":2022,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Panjab University; Haryana State Council for Science and Technology; NED University of Engineering and Technology; Department of Biotechnology, Ministry of Science and Technology, India","keywords":"Xylanase; Bioconversion; Xylan; Xylose; Chemistry; Immobilized enzyme; Yield (engineering); Enzyme; Food science; Biochemistry; Materials science; Fermentation","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002591728,0.000309496,0.0004139668,0.0007403257,0.0001979554,0.00002354714,0.0004667854,0.0002747951,0.0002219924],"category_scores_gemma":[0.00007072448,0.0003116178,0.00006291758,0.0007697543,0.0002926555,0.00005547312,0.0008524778,0.0004086238,0.00002404592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001025924,"about_ca_system_score_gemma":0.0000134839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009116511,"about_ca_topic_score_gemma":0.000005323905,"domain_scores_codex":[0.9983097,0.00005784123,0.0003776437,0.0005880221,0.0002426992,0.00042415],"domain_scores_gemma":[0.9989042,0.00003650481,0.00009190077,0.0007359275,0.00003887809,0.0001925744],"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":[0.0002605091,0.0001754974,0.001440446,0.0002769483,0.00007478472,0.00003124494,0.0003536485,0.0001596437,0.9458885,0.0000758669,0.03678423,0.01447873],"study_design_scores_gemma":[0.00457574,0.001273615,0.0002518099,0.00004315062,0.00008411667,0.000132709,0.003703394,0.002997636,0.6681274,0.0001419856,0.3178614,0.0008070885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917679,0.00408219,0.00008432432,0.002242401,0.0002447671,0.0006726854,0.0002244204,0.0005536999,0.0001276416],"genre_scores_gemma":[0.9985909,0.0003028314,0.000438965,0.0001731685,0.0000338257,0.00004888968,0.00003681076,0.00005011508,0.000324477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2810772,"threshold_uncertainty_score":0.9999336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003438437608671551,"score_gpt":0.1749554171525841,"score_spread":0.1715169795439126,"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."}}