{"id":"W2506778728","doi":"10.1038/srep30533","title":"Combined Detoxification and In-situ Product Removal by a Single Resin During Lignocellulosic Butanol Production","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; BioFuelNet Canada; Alexander von Humboldt-Stiftung","keywords":"Hydrolysate; Butanol; Clostridium beijerinckii; Fermentation; Chemistry; Acetone; Product inhibition; Substrate (aquarium); Guaiacol; Chromatography; Detoxification (alternative medicine); Food science; Hydrolysis; Ethanol; Biochemistry; Biology; Non-competitive inhibition; 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":[0.0006420941,0.0001338342,0.0001197292,0.0002076198,0.0001525366,0.00009962486,0.00005736624,0.00006459287,0.00001821553],"category_scores_gemma":[0.0001090948,0.0001059633,0.00002454883,0.0004299928,0.0001633056,0.0003555132,0.00002940252,0.00007797909,0.00002157015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001374425,"about_ca_system_score_gemma":0.00001834841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002992012,"about_ca_topic_score_gemma":0.000006840099,"domain_scores_codex":[0.9983974,0.00002807402,0.0003552685,0.0007371621,0.0002426459,0.0002394197],"domain_scores_gemma":[0.9992196,0.000005372949,0.00009331287,0.0005409621,0.00007113089,0.0000696159],"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":[0.00001689455,0.00004645237,0.001234336,0.00009668629,0.000004248463,0.000028715,0.0000870814,0.000007896777,0.9871553,0.000001395407,0.007740736,0.003580299],"study_design_scores_gemma":[0.0001564893,0.00001286792,0.002413335,0.00006807283,0.000005369343,0.0002564498,0.00002690285,0.00002206135,0.9792791,0.0002884338,0.01730788,0.0001630554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923445,0.0004494336,0.00004183695,0.0009970585,0.005129162,0.0003902329,7.800659e-7,0.0002538064,0.00039321],"genre_scores_gemma":[0.9932927,0.00004180306,0.0001680025,0.000002983109,0.0001090186,0.00001242608,0.00001215561,0.00001898294,0.006341936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009567145,"threshold_uncertainty_score":0.4321059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009323220142186776,"score_gpt":0.1868888539340731,"score_spread":0.1775656337918863,"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."}}