{"id":"W2730750085","doi":"10.3390/fermentation3030031","title":"Phenols Removal from Hemicelluloses Pre-Hydrolysate by Laccase to Improve Butanol Production","year":2017,"lang":"en","type":"article","venue":"Fermentation","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Polytechnique Montréal; Centre National en Électrochimie et en Technologies Environnementales","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations; BioFuelNet Canada","keywords":"Laccase; Hydrolysate; Chemistry; Butanol; Acetone; Fermentation; Phenols; Flocculation; Chromatography; Food science; Organic chemistry; Ethanol; Hydrolysis; Enzyme","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":[0.0001989829,0.000560403,0.0003766,0.0002016757,0.0001042883,0.0003290407,0.0002009233,0.0002610367,0.0003745777],"category_scores_gemma":[0.0002027396,0.0001443516,0.000417009,0.0002402392,0.0001214599,0.0002572518,0.0001883812,0.0004989376,0.0001439985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001663199,"about_ca_system_score_gemma":0.0001910609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005572429,"about_ca_topic_score_gemma":0.001174893,"domain_scores_codex":[0.9998266,0.0000250554,0.00001663302,0.00002930457,0.00006257363,0.00003978013],"domain_scores_gemma":[0.999923,0.0000135338,0.00002396128,0.000008015468,0.00001681141,0.00001470866],"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":[0.00001728998,0.00001736553,0.0000369855,0.0000228716,0.000003884216,0.00001598517,0.000004259355,0.00003756908,0.9990851,0.000007650177,0.000005888052,0.0007451328],"study_design_scores_gemma":[0.000001186939,0.00005116129,0.0005665507,0.000001668254,0.000006359215,0.00002486656,0.000003126259,0.0001659418,0.9989317,0.000003640906,0.0002425449,0.000001216528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918486,0.001747185,0.005610559,0.00006569111,0.00002371147,0.00002339487,0.0001238981,0.00004649617,0.0005104028],"genre_scores_gemma":[0.9910601,0.001084082,0.005579704,0.00003775551,0.000009714569,0.00001982263,0.0002840026,0.00002209587,0.00190285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000560403,"threshold_uncertainty_score":0.001253128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00940457468814778,"score_gpt":0.2356481748476046,"score_spread":0.2262436001594568,"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."}}