{"id":"W4281645196","doi":"10.1002/cjce.24486","title":"Continuous ex situ recovery of volatile monoterpenoids produced by genetically engineered <i>Escherichia coli</i>","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Industrial fermentation; Chemistry; Fermentation; Extraction (chemistry); Chromatography; Dodecane; Pulp and paper industry; Sparging; Chemical engineering; Waste management; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003291384,0.0001413061,0.0002195961,0.00006566406,0.00005041473,0.00001736267,0.0003269012,0.0000724511,0.00002914231],"category_scores_gemma":[0.0002036501,0.0001273611,0.0001146681,0.0001646034,0.00003967139,0.000005015033,0.00003804077,0.0003120012,5.252617e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006049844,"about_ca_system_score_gemma":0.0002517024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001689369,"about_ca_topic_score_gemma":0.000009420623,"domain_scores_codex":[0.9990972,0.00002589325,0.0003400894,0.000143819,0.0001433308,0.0002496421],"domain_scores_gemma":[0.999357,0.000008769493,0.0001183113,0.0002260744,0.0001011602,0.0001886297],"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":[0.00003762888,0.00001298157,0.00001341047,0.0000161466,0.00006539233,0.000002613793,0.0000416511,0.01953794,0.9766278,0.00001145727,0.003259747,0.0003732114],"study_design_scores_gemma":[0.0002491549,0.0001505906,0.00003119086,0.00001145119,0.00003158358,0.00006971183,0.000007627817,0.0004178831,0.9724776,0.000005544317,0.02640289,0.0001447646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958973,0.002256461,0.0009248081,0.0002646995,0.0004804708,0.0001032738,0.00003990635,0.000005945848,0.00002711873],"genre_scores_gemma":[0.9986562,0.00001387129,0.000742257,0.00007118322,0.0003626743,0.000005201186,0.00001921649,0.00003035295,0.00009901252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02314314,"threshold_uncertainty_score":0.5193635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003209077506643539,"score_gpt":0.1643654376637748,"score_spread":0.1611563601571313,"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."}}