{"id":"W281389868","doi":"10.1016/j.biortech.2015.05.012","title":"Improvement of butanol production from a hardwood hemicelluloses hydrolysate by combined sugar concentration and phenols removal","year":2015,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre National en Électrochimie et en Technologies Environnementales; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Hydrolysate; Butanol; Fermentation; Chromatography; Phenols; Flocculation; Acetic acid; Sugar; Food science; Pulp and paper industry; Ethanol; Hydrolysis; Biochemistry; Organic chemistry","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":[0.00009096643,0.0001382204,0.0001750983,0.00007337899,0.0000317276,0.00001033636,0.0001066698,0.0002168787,0.000012113],"category_scores_gemma":[0.00003497419,0.0001337522,0.00002036386,0.0001979448,0.0001840522,0.00005917866,0.00004869072,0.0001284913,0.00001091923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005791305,"about_ca_system_score_gemma":0.00001105258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003910657,"about_ca_topic_score_gemma":0.000001508591,"domain_scores_codex":[0.9992157,0.00001107861,0.0002224446,0.0002639148,0.000119566,0.0001673019],"domain_scores_gemma":[0.9995539,0.000005309242,0.00007350502,0.0002563813,0.00005503091,0.00005587525],"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":[0.00004799823,0.00003884118,0.0006961811,0.00003559723,0.00003393816,0.000001262735,0.0001411119,0.00001236386,0.9879667,0.00003508362,0.003092312,0.007898631],"study_design_scores_gemma":[0.00076982,0.0001944898,0.00002997956,0.00001578557,0.00002450231,0.000009987573,0.0004979526,0.001113067,0.972615,0.0005737881,0.02401351,0.0001421406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955066,0.001867523,0.0001671697,0.001140896,0.000354436,0.0002939988,0.00002003696,0.0005319114,0.0001173786],"genre_scores_gemma":[0.9991761,0.0001333193,0.0004412608,0.00002177961,0.00006602013,0.00001093416,0.00004265806,0.00001793797,0.0000899466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0209212,"threshold_uncertainty_score":0.5454257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008282223152184088,"score_gpt":0.1856148453920236,"score_spread":0.1773326222398395,"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."}}