{"id":"W3005251754","doi":"10.1021/acssuschemeng.9b05439","title":"Cultivation Strategies of <i>Clostridium autoethanogenum</i> on Xylose and Carbon Monoxide Combination","year":2020,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Alexander von Humboldt-Stiftung","keywords":"Xylose; Syngas; Chemistry; Carbon monoxide; Fermentation; Mass transfer; Chemical engineering; Batch reactor; Carbon fibers; Chromatography; Organic chemistry; Materials science; Catalysis","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":[0.00008401256,0.0001647022,0.0001430794,0.00002335085,0.00002704074,0.00002169204,0.00008495284,0.0001258544,0.000002120687],"category_scores_gemma":[0.0002025434,0.000180861,0.00003207444,0.0001498924,0.00002342595,0.00001055585,0.00005618721,0.0001113536,2.435011e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002186121,"about_ca_system_score_gemma":0.00004365215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001525737,"about_ca_topic_score_gemma":4.038803e-8,"domain_scores_codex":[0.9992519,0.000007106112,0.0001737276,0.0002742684,0.00008793117,0.0002050742],"domain_scores_gemma":[0.9995927,0.000004352381,0.00006302804,0.0001582631,0.0001122056,0.0000694738],"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":[0.00002725735,0.00002159915,0.00003313559,0.0004358249,0.00002469506,0.000002355856,0.00007661201,0.01261754,0.9862732,0.0003242628,0.00006704714,0.00009643387],"study_design_scores_gemma":[0.0003212358,0.00008975538,0.000111463,0.00001983353,0.00001460295,0.000005629394,0.0005019433,0.000815974,0.9927671,0.00001430729,0.005177632,0.0001605426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978163,0.0004723032,0.000863547,0.0002375809,0.00004220499,0.0001250357,0.000004608864,0.00004579472,0.0003926235],"genre_scores_gemma":[0.999069,0.0001090194,0.0002237027,0.00001879654,0.0002354241,0.0000115519,0.00006482818,0.0000241994,0.0002435101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01180157,"threshold_uncertainty_score":0.7375298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004070005296241456,"score_gpt":0.182888977927936,"score_spread":0.1788189726316945,"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."}}