{"id":"W2124843691","doi":"10.1002/bit.23185","title":"Influence of steam pretreatment severity on post‐treatments used to enhance the enzymatic hydrolysis of pretreated softwoods at low enzyme loadings","year":2011,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hemicellulose; Cellulosic ethanol; Lignin; Cellulose; Softwood; Chemistry; Enzymatic hydrolysis; Hydrolysis; Hydrogen peroxide; Cellulase; Pulp and paper industry; Organic chemistry; Chromatography","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":[0.0004282139,0.0008987482,0.000585574,0.0002176089,0.0001471704,0.0005314795,0.0002862162,0.0003737844,0.001666916],"category_scores_gemma":[0.0007443595,0.0003283867,0.0004428728,0.0003415473,0.000301899,0.0003999662,0.0002591283,0.0008128947,0.0003441226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001858853,"about_ca_system_score_gemma":0.0002883037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000783506,"about_ca_topic_score_gemma":0.001746634,"domain_scores_codex":[0.9996887,0.00006394493,0.00005722575,0.00005767012,0.00007377641,0.00005869002],"domain_scores_gemma":[0.9994335,0.0002378241,0.0001369481,0.0000354801,0.00008714153,0.00006924932],"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":[0.0001903931,0.00003710785,0.0001984601,0.00007174998,0.00001223076,0.00002801259,0.00002627291,0.0001072826,0.9984097,0.000009240415,0.000007790753,0.0009016211],"study_design_scores_gemma":[0.000005780826,0.0004134265,0.002204029,0.000004952824,0.00002355083,0.00001655096,0.00002166401,0.0002286949,0.9968318,0.000005848812,0.000238329,0.000005365314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951563,0.0008762913,0.00293303,0.00004314916,0.00003547492,0.00009597486,0.0001445989,0.00004826914,0.0006669623],"genre_scores_gemma":[0.991947,0.001152955,0.005203587,0.00006800498,0.00001863783,0.00006446378,0.0003721992,0.0000610477,0.001112026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001666916,"threshold_uncertainty_score":0.005576372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007808587521797427,"score_gpt":0.1997163286945806,"score_spread":0.1919077411727831,"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."}}