{"id":"W2605013004","doi":"10.1016/j.ymben.2017.04.001","title":"Metabolic engineering of Escherichia coli for the production of four-, five- and six-carbon lactams","year":2017,"lang":"en","type":"article","venue":"Metabolic Engineering","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Foundation of Korea; Petroleum Technology Alliance Canada","keywords":"Escherichia coli; Metabolic engineering; Production (economics); Microbiology; Biotechnology; Biochemistry; Chemistry; Biology; Enzyme; Gene; Economics","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":[0.0004772677,0.0002298051,0.0003747394,0.00008106499,0.00009656767,0.00002743326,0.0002831227,0.0001191175,0.000001232948],"category_scores_gemma":[0.001040877,0.0001897469,0.0001228113,0.00009668198,0.00007061841,0.00001455165,0.000106065,0.0001168466,1.818047e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003712391,"about_ca_system_score_gemma":0.00002270059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007788454,"about_ca_topic_score_gemma":0.000006129613,"domain_scores_codex":[0.9989806,0.00001274453,0.0003123442,0.0003208343,0.0001180769,0.0002553793],"domain_scores_gemma":[0.9989015,0.0000176444,0.0002050032,0.0006932502,0.0001284099,0.00005421494],"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":[0.00002958728,0.00001856853,0.0002555126,0.000150372,0.0001766734,1.194457e-7,0.0000603962,0.01384307,0.9823431,0.000537774,0.00003027886,0.002554601],"study_design_scores_gemma":[0.0003415088,0.00005045971,0.02653172,0.00004525342,0.0001721986,0.000009322243,0.00001647759,0.00698141,0.9247867,0.000003195881,0.04084767,0.000214129],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842662,0.009322709,0.004454608,0.000136981,0.001352453,0.0004059724,0.00001502717,0.00002649285,0.00001955752],"genre_scores_gemma":[0.9919668,0.001719195,0.005025351,0.000006082945,0.0009353292,0.00006065912,0.000007098683,0.00004654587,0.0002329625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05755639,"threshold_uncertainty_score":0.7737653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009493623342342017,"score_gpt":0.2145293331690477,"score_spread":0.2050357098267057,"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."}}