{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001627486,0.000258616,0.0003280568,0.0001484986,0.0001384609,0.00005824791,0.0001211315,0.0005510392,0.00001200892],"category_scores_gemma":[0.00003517405,0.0002428499,0.00002438659,0.0003122419,0.0004284644,0.0001449227,0.0001331931,0.0002041205,0.00001087118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000049539,"about_ca_system_score_gemma":0.00001021031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005391758,"about_ca_topic_score_gemma":0.000001205293,"domain_scores_codex":[0.9987656,0.00003069856,0.0002781,0.0004651846,0.0001364693,0.0003238965],"domain_scores_gemma":[0.9994937,0.00001265757,0.00007892271,0.0002207463,0.00006950199,0.0001245146],"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":[0.0001744446,0.0000222775,0.0004725516,0.000142894,0.00004932155,0.000002938721,0.0009037259,0.00000272284,0.9864823,0.00004235977,0.0002182905,0.01148614],"study_design_scores_gemma":[0.0009232804,0.0002872405,0.0001304044,0.00008365801,0.00004405401,0.00008329769,0.0003100369,0.0002823465,0.9932788,0.00005712044,0.004240804,0.0002789274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967657,0.0007685357,0.0002186424,0.000852532,0.0003252353,0.0006227347,0.0000210887,0.0003780111,0.00004751727],"genre_scores_gemma":[0.9965871,0.0001629962,0.002915545,0.0001056364,0.0001145914,0.0000319916,0.00002184955,0.00003118043,0.00002910267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01120722,"threshold_uncertainty_score":0.9903131,"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."}}