{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000085572,0.0001315161,0.00009508056,0.00004994929,0.0002266779,0.0001434288,0.0001470485,0.00007371813,0.0001132671],"category_scores_gemma":[0.00003353786,0.0001353931,0.0000305189,0.00004861858,0.00002557325,0.0004521404,0.00003768996,0.00008952485,0.0002347346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001076014,"about_ca_system_score_gemma":0.000006753024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001557887,"about_ca_topic_score_gemma":0.000006140866,"domain_scores_codex":[0.9992013,0.00001412143,0.0001603063,0.0003018527,0.0001620311,0.0001604145],"domain_scores_gemma":[0.9994063,0.000003621659,0.00006835298,0.0004086512,0.00003703223,0.00007607061],"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":[0.00005385624,0.00002254384,0.0001584985,0.00003457801,0.00002026532,0.000001920675,0.0003374408,0.0001191284,0.9674122,0.000001545559,0.01165194,0.02018614],"study_design_scores_gemma":[0.0003643044,0.00003828204,0.002158524,0.00001829528,0.00002288985,0.00000407074,0.0001146494,0.001372977,0.9829283,0.0001379372,0.01265806,0.0001817425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945965,0.00008110699,0.0004959948,0.0009575268,0.002579978,0.0004464748,0.00004613413,0.0002498378,0.0005464237],"genre_scores_gemma":[0.9962564,0.00005417283,0.0007826136,0.00008362826,0.0005186572,0.00003076852,0.0001435209,0.00002454038,0.002105691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0200044,"threshold_uncertainty_score":0.5521169,"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."}}