{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001060067,0.0004552922,0.0001939101,0.0001576036,0.0001111348,0.0003016191,0.0001653,0.0002111647,0.0004996529],"category_scores_gemma":[0.0001036547,0.0001610552,0.0002501453,0.0001628573,0.0001262978,0.0002108801,0.0002890214,0.0002825112,0.0001695014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001495107,"about_ca_system_score_gemma":0.0001940836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009723693,"about_ca_topic_score_gemma":0.002125897,"domain_scores_codex":[0.9999056,0.000008570194,0.000008690158,0.00001798813,0.00003083939,0.00002825828],"domain_scores_gemma":[0.9999473,0.000005659766,0.00001587904,0.000006859351,0.00001198866,0.00001231958],"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":[0.00004011852,0.00001029174,0.00007207201,0.00001251941,0.000003074408,0.00001720953,0.000008774308,0.00004992177,0.9989458,0.00002102324,0.000007184653,0.0008120685],"study_design_scores_gemma":[0.000001471129,0.00003735718,0.0004951789,0.000001283163,0.000003856984,0.00001612609,0.000004802206,0.0001610797,0.9991773,0.000003243356,0.00009731156,0.000001045306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965993,0.0003916173,0.002266685,0.00001384486,0.000010832,0.000009384202,0.00005269654,0.00003114313,0.0006245816],"genre_scores_gemma":[0.9968762,0.0003000242,0.001205695,0.000008305142,0.000002282849,0.000004859134,0.00007119305,0.00001276578,0.001518569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009723693,"threshold_uncertainty_score":0.001933455,"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."}}