{"id":"W2511366682","doi":"10.4172/2157-7544.1000149","title":"Reusability of Immobilized Cellulases with Highly Retained Enzyme Activity and their Application for the Hydrolysis of Model Substrates and Lignocellulosic Biomass","year":2015,"lang":"en","type":"article","venue":"Journal of Thermodynamics & Catalysis","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Cellulase; Lignocellulosic biomass; Reusability; Biomass (ecology); Hydrolysis; Chemistry; Pulp and paper industry; Immobilized enzyme; Enzymatic hydrolysis; Enzyme; Waste management; Biochemistry; Computer science; Engineering; Agronomy; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003462386,0.0005347854,0.0003017048,0.0002697835,0.0001409967,0.0004615808,0.0002755496,0.0005161714,0.0003747349],"category_scores_gemma":[0.000370999,0.0001700658,0.0004926975,0.0003163223,0.0002359065,0.0003124722,0.0002546813,0.0005078052,0.0001724171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002877649,"about_ca_system_score_gemma":0.0001961868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008884379,"about_ca_topic_score_gemma":0.001733286,"domain_scores_codex":[0.9997367,0.00002882769,0.00002487578,0.00005999126,0.00009180688,0.00005780499],"domain_scores_gemma":[0.9998591,0.00003376705,0.00003392058,0.00002162151,0.00003220102,0.00001934647],"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":[0.00001038479,0.000008416875,0.0001142365,0.00002610441,0.000005697935,0.00002025049,0.000007806098,0.00005919028,0.9984205,0.00001865279,0.000004945478,0.001303812],"study_design_scores_gemma":[0.000001567796,0.00007182983,0.00137466,0.000002710845,0.00001361239,0.00005391973,0.000009104137,0.0003918971,0.9977162,0.000009928727,0.0003515737,0.00000318445],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852993,0.002486686,0.01124634,0.00005985376,0.0000186043,0.00002320991,0.0001087153,0.00007026737,0.0006871222],"genre_scores_gemma":[0.9918331,0.0008836684,0.0061068,0.00002306871,0.000008582103,0.00001603706,0.0002560217,0.00002066849,0.0008520355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008884379,"threshold_uncertainty_score":0.002087951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329736477531096,"score_gpt":0.2062438809994432,"score_spread":0.1929465162241322,"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."}}