{"id":"W2045713745","doi":"10.2323/jgam.60.191","title":"Production of itaconic acid using metabolically engineered Escherichia coli","year":2014,"lang":"en","type":"article","venue":"The Journal of General and Applied Microbiology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Japan Society for the Promotion of Science; Japan Science and Technology Agency; Yale University","keywords":"Itaconic acid; Escherichia coli; Biochemistry; Chemistry; Biology; Molecular biology; Gene; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002075003,0.000789293,0.0005222586,0.0003263138,0.0001560102,0.0005491821,0.0003791983,0.0003585957,0.0003642209],"category_scores_gemma":[0.0001879253,0.0002221999,0.0003404261,0.0006683093,0.0001690292,0.000197452,0.000392562,0.0006003841,0.0004507612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004438539,"about_ca_system_score_gemma":0.0002979576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001339626,"about_ca_topic_score_gemma":0.001349176,"domain_scores_codex":[0.9996994,0.00004613417,0.00004378071,0.00005161,0.0001010163,0.00005809523],"domain_scores_gemma":[0.9998719,0.00001672149,0.00003576513,0.00002074765,0.00003220564,0.00002276159],"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":[0.00003406191,0.00002891433,0.0001203797,0.00003297312,0.000004761513,0.00005061332,0.000008829844,0.0001566561,0.9985789,0.00007461647,0.00002154575,0.0008878609],"study_design_scores_gemma":[0.00001003179,0.00008778515,0.0006423194,0.000005475808,0.00001368723,0.0001245605,0.00001577915,0.001163067,0.9959085,0.00001763178,0.002004842,0.000006387294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628497,0.001082545,0.03068865,0.0001678067,0.0000858304,0.0001856398,0.001674449,0.0004053671,0.002859984],"genre_scores_gemma":[0.9577669,0.001346883,0.0328645,0.00007920169,0.00001409756,0.0001089492,0.003099401,0.000113462,0.004606774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001339626,"threshold_uncertainty_score":0.003220439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005757829980888257,"score_gpt":0.1996696256171539,"score_spread":0.1939117956362657,"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."}}