{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006199015,0.0002102577,0.0002633511,0.00008727607,0.00007044175,0.00001291713,0.00009328745,0.0005929001,0.00002408196],"category_scores_gemma":[0.0000102345,0.0001934912,0.00002281263,0.0001907139,0.0003815561,0.00003464306,0.0001055028,0.0002490922,0.000003329142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001669448,"about_ca_system_score_gemma":0.000008279465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006387355,"about_ca_topic_score_gemma":0.000001353398,"domain_scores_codex":[0.9991941,0.000004819955,0.000226145,0.0003065125,0.00007080004,0.0001976249],"domain_scores_gemma":[0.9996265,0.00002217315,0.00005597869,0.0002143079,0.00001552741,0.00006553937],"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":[0.00003531675,0.0000495334,0.0001062198,0.0003133982,0.00005271926,8.634597e-7,0.0000587072,0.000004775976,0.9878904,0.00004226384,0.0002152245,0.01123064],"study_design_scores_gemma":[0.0007755497,0.00004338052,0.0001104015,0.00001740576,0.00005333474,0.00005625402,0.0002013698,0.0008712427,0.9955238,0.00002379067,0.002111304,0.000212243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967865,0.001386687,0.0001131577,0.001019149,0.00005071847,0.0001343764,0.00002439066,0.000242558,0.0002424959],"genre_scores_gemma":[0.9980401,0.001020399,0.0007050456,0.00005550286,0.0000796388,0.00000812404,0.00002280534,0.00001562572,0.000052796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01101839,"threshold_uncertainty_score":0.7890342,"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."}}