{"id":"W2900906559","doi":"10.1002/btpr.2753","title":"Combining chemical flocculation and bacterial co‐culture of <i>Cupriavidus taiwanensis</i> and <i>Ureibacillus thermosphaericus</i> to detoxify a hardwood hemicelluloses hydrolysate and enable acetone–butanol–ethanol fermentation leading to butanol","year":2018,"lang":"en","type":"article","venue":"Biotechnology Progress","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Bombardier (Canada); Polytechnique Montréal; Centre National en Électrochimie et en Technologies Environnementales","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrolysate; Butanol; Clostridium acetobutylicum; Fermentation; Chemistry; Acetone; Biofuel; Food science; Flocculation; Chromatography; Ethanol; Hydrolysis; Biochemistry; Organic chemistry; Biotechnology; Biology","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":[0.0002101192,0.0008864424,0.0004443151,0.0002590263,0.0001532469,0.0004477971,0.0003649763,0.0004266642,0.0004628857],"category_scores_gemma":[0.0001476714,0.0001673091,0.0005704883,0.0002779896,0.0001613594,0.0003004505,0.0004742217,0.0004937346,0.0002878609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002319264,"about_ca_system_score_gemma":0.000261155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008672655,"about_ca_topic_score_gemma":0.001341854,"domain_scores_codex":[0.9997806,0.00002609623,0.00002552986,0.00005744345,0.00006091553,0.00004952218],"domain_scores_gemma":[0.9999082,0.000009544616,0.00003091863,0.00001852002,0.0000170815,0.00001578728],"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":[0.00001610738,0.00002117812,0.00008314453,0.00002483548,0.000008233239,0.00002269395,0.000006678662,0.00004337949,0.9988285,0.00001536487,0.000008587897,0.0009213567],"study_design_scores_gemma":[0.000004706389,0.0002396365,0.001018784,0.000004608849,0.00002434429,0.00007845112,0.00001531796,0.000540357,0.9974613,0.00000691243,0.0006018694,0.000003585916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943094,0.0005133356,0.004219089,0.00006511058,0.00003262788,0.00005012907,0.00007659094,0.00005396292,0.0006797268],"genre_scores_gemma":[0.989727,0.0005791529,0.007380988,0.00003760995,0.00001819411,0.00006977158,0.0003943578,0.00002374785,0.001769268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008864424,"threshold_uncertainty_score":0.001724422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007485784881827666,"score_gpt":0.2262605416000223,"score_spread":0.2187747567181946,"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."}}