{"id":"W3193529142","doi":"10.1186/s13568-021-01276-8","title":"Production of R- and S-1,2-propanediol in engineered Lactococcus lactis","year":2021,"lang":"en","type":"article","venue":"AMB Express","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"JST-Mirai Program; Adaptable and Seamless Technology Transfer Program through Target-Driven R and D; Institute of Genetics; RIKEN; Japan Science and Technology Agency; National Brain Research Centre","keywords":"Lactococcus lactis; Metabolic engineering; Kluyveromyces lactis; Lactic acid; Nisin; Chemistry; Food science; 1,3-Propanediol; Bacteria; Biochemistry; Fermentation; Biology; Yeast; Saccharomyces cerevisiae; Enzyme","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007713793,0.00006698877,0.00009617461,0.00002844209,0.000009697269,0.000004717753,0.00003299734,0.00006220776,0.000004146856],"category_scores_gemma":[0.0001141052,0.00006658543,0.00001933749,0.00008000897,0.00002079285,0.000003488596,0.00003153909,0.00004826121,5.537477e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003311471,"about_ca_system_score_gemma":0.00001569092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002231441,"about_ca_topic_score_gemma":0.00001345846,"domain_scores_codex":[0.9995271,0.00002167094,0.0001102392,0.000209786,0.0000409227,0.00009031283],"domain_scores_gemma":[0.9997182,0.000001385245,0.00002607664,0.0001813092,0.00005204525,0.00002101626],"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":[0.00001942986,0.00002924321,0.0005495257,0.00004316818,0.000009735544,0.000001394143,0.00004545042,0.0002138909,0.9960849,0.00001702898,0.0002399558,0.002746279],"study_design_scores_gemma":[0.0001842198,0.00002859903,0.006052899,0.0000202131,0.000005342584,0.00002771053,0.00003752785,0.00001437711,0.9807922,0.000005444588,0.01275619,0.00007522519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979476,0.00132773,0.0001940526,0.00008953899,0.000268088,0.00008817243,0.000004003222,0.000007494172,0.00007326364],"genre_scores_gemma":[0.9978738,0.0003419667,0.000890643,0.00001044195,0.0002336979,0.00001111758,0.00002575905,0.00000840135,0.0006041728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01529265,"threshold_uncertainty_score":0.2715275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00631525349772237,"score_gpt":0.2156870647998311,"score_spread":0.2093718113021087,"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."}}