{"id":"W2137351188","doi":"10.1002/bit.22768","title":"Optimized delignification of wood‐derived lignocellulosics for improved enzymatic hydrolysis","year":2010,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bioconversion; Peroxide; Softwood; Chemistry; Hydrolysis; Pulp and paper industry; Hydrogen peroxide; Enzymatic hydrolysis; Organic chemistry; 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":[0.0002436167,0.0007163815,0.0004467517,0.0002543496,0.0001049693,0.0004510917,0.0002307092,0.0003376326,0.0008916746],"category_scores_gemma":[0.0001992849,0.0001861455,0.000278627,0.0003404665,0.0001894071,0.0002901382,0.0002117099,0.0005429537,0.0003171923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002445366,"about_ca_system_score_gemma":0.0003117658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007432873,"about_ca_topic_score_gemma":0.002938899,"domain_scores_codex":[0.9998602,0.00001528631,0.00001519216,0.00002736882,0.00003542565,0.0000466478],"domain_scores_gemma":[0.9999237,0.00001420674,0.00002324181,0.000007503475,0.00001534828,0.00001600364],"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":[0.00004489661,0.00003679885,0.0000572871,0.00003634465,0.000004567115,0.00002699517,0.000009602769,0.0004880196,0.9979366,0.0000435792,0.00001117865,0.001304246],"study_design_scores_gemma":[0.000008408485,0.00009765392,0.0004904039,0.000002922949,0.000007002394,0.00001941916,0.000008674943,0.0008001914,0.9980246,0.00001340807,0.0005231813,0.000004145155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925822,0.0005966322,0.005841968,0.00003200977,0.00001625292,0.00003824373,0.0001096348,0.0000507323,0.0007322754],"genre_scores_gemma":[0.9918364,0.000683966,0.005891549,0.00002428393,0.000004337549,0.00002192703,0.0002681745,0.00003996557,0.00122935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008916746,"threshold_uncertainty_score":0.002982974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006314570844811657,"score_gpt":0.1871468930963391,"score_spread":0.1808323222515275,"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."}}