{"id":"W2108125296","doi":"10.1385/abab:121:1-3:0219","title":"Enzymatic Hydrolysis of Steam-Exploded and Ethanol Organosolv–Pretreated Douglas-Firby Novel and Commercial Fungal Cellulases","year":2005,"lang":"en","type":"article","venue":"Applied Biochemistry and Biotechnology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Natural Resources Limited","keywords":"Organosolv; Bioconversion; Cellulase; Enzymatic hydrolysis; Steam explosion; Cellulose; Softwood; Chemistry; Hydrolysis; Pulp and paper industry; Lignin; Ethanol; Ethanol fuel; Waste management; Organic chemistry; Biochemistry; Fermentation; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003194876,0.0004609984,0.0002104163,0.0001845527,0.0001350237,0.0004247818,0.000200839,0.0002391821,0.000741743],"category_scores_gemma":[0.0002175988,0.000139046,0.0002829811,0.0002445136,0.0001837075,0.0003154823,0.0001178666,0.0003299199,0.0001695721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004747963,"about_ca_system_score_gemma":0.0004407285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003959422,"about_ca_topic_score_gemma":0.008321565,"domain_scores_codex":[0.9998723,0.00001007454,0.000008942045,0.00002336271,0.00003078389,0.00005448184],"domain_scores_gemma":[0.9999032,0.0000240606,0.00001958698,0.00001136802,0.00001985644,0.00002188698],"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":[0.0002734836,0.00003846737,0.0005512774,0.00003124909,0.00001318395,0.00004998417,0.00002437814,0.0001288967,0.997041,0.00007330009,0.00002183222,0.001752828],"study_design_scores_gemma":[0.000009024129,0.00009234602,0.007275811,0.000006331823,0.00001488019,0.00007048461,0.00004225785,0.0004013657,0.9915536,0.00002229042,0.0005072328,0.000004354978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980208,0.0007104948,0.0005540592,0.00002019498,0.0000123107,0.000005131912,0.0001314337,0.000005088587,0.0005404453],"genre_scores_gemma":[0.9973537,0.0004115276,0.000586786,0.0000129727,0.000003298567,0.000002897705,0.0003049801,0.000004005971,0.001319886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003959422,"threshold_uncertainty_score":0.00787276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006283861662860318,"score_gpt":0.1761539930062153,"score_spread":0.169870131343355,"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."}}