{"id":"W2278006995","doi":"10.1016/j.biortech.2016.02.062","title":"Optimization of fermentation condition favoring butanol production from glycerol by Clostridium pasteurianum DSM 525","year":2016,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; BioFuelNet Canada; Alexander von Humboldt-Stiftung","keywords":"Butanol; Glycerol; Fermentation; Biofuel; Raw material; Biodiesel; Bioreactor; Chemistry; Yield (engineering); Clostridium beijerinckii; Food science; Chromatography; Biochemistry; Biotechnology; Materials science; Organic chemistry; Ethanol; 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":[0.00007153836,0.0001549137,0.0001583057,0.0002846781,0.00005903471,0.000009115485,0.0001294304,0.0003035371,0.0001486518],"category_scores_gemma":[0.00003890866,0.0001297355,0.00003694121,0.0003319583,0.0001476619,0.0001518871,0.00003379547,0.0001028375,0.0000465524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000111496,"about_ca_system_score_gemma":0.000007396875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001476944,"about_ca_topic_score_gemma":7.19582e-7,"domain_scores_codex":[0.9990615,0.00002370228,0.0002840517,0.0003027087,0.0001364073,0.0001916151],"domain_scores_gemma":[0.9994994,0.00001069713,0.0001128936,0.0002790135,0.00006337984,0.00003464535],"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":[0.00003301701,0.00003038922,0.0009539594,0.00003515406,0.0000283276,4.118844e-7,0.00004463231,0.0006984644,0.9806057,0.00002787252,0.00399647,0.01354556],"study_design_scores_gemma":[0.0006125998,0.00008622817,0.0002353221,0.00005145688,0.00002283203,0.000006180742,0.0002247713,0.0009273735,0.9862427,0.0001595766,0.01126148,0.0001694825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672077,0.0002818294,0.02767759,0.002479068,0.0007955301,0.0003482939,0.00009032394,0.001008036,0.0001116584],"genre_scores_gemma":[0.9981146,0.0002096728,0.00112569,0.00001476729,0.0001561597,0.00002421434,0.00009772545,0.00002789979,0.0002292358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03090697,"threshold_uncertainty_score":0.529046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005164772518138391,"score_gpt":0.1891096208711438,"score_spread":0.1839448483530054,"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."}}