{"id":"W1997494984","doi":"10.4161/bbug.2.6.17237","title":"Metabolic engineering to improve 5-aminolevulinic acid production","year":2011,"lang":"en","type":"article","venue":"Bioengineered Bugs","topic":"Porphyrin Metabolism and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; University of Waterloo; National Natural Science Foundation of China","keywords":"Metabolic engineering; Escherichia coli; Metabolic pathway; Biochemistry; Chemistry; Synthetic biology; Biotechnology; Biochemical engineering; Metabolism; Computational biology; Biology; Enzyme; Engineering","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":[0.0002092792,0.000633583,0.000430794,0.0004476134,0.0001709119,0.0006328666,0.0002913634,0.0004791515,0.0005038588],"category_scores_gemma":[0.0003427581,0.0001837359,0.0003987367,0.0005533255,0.0001757965,0.0003785805,0.0005324549,0.0005404913,0.0002950781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005016649,"about_ca_system_score_gemma":0.0003201166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000865906,"about_ca_topic_score_gemma":0.001028673,"domain_scores_codex":[0.9997615,0.0000409143,0.00003446473,0.0000420594,0.00006638375,0.00005469908],"domain_scores_gemma":[0.9999043,0.00001539337,0.00003043039,0.00001109974,0.00001814214,0.00002071566],"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":[0.00002891839,0.00002340766,0.0001765499,0.00006316182,0.000009288141,0.00010458,0.00001709214,0.0005937751,0.9950551,0.0002932603,0.00003160443,0.003603276],"study_design_scores_gemma":[0.00000922384,0.0001341724,0.0007926779,0.00000926509,0.00003154437,0.0002255883,0.00002657422,0.002365437,0.990918,0.0001026574,0.005375384,0.000009324196],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9516927,0.002596497,0.04133803,0.0004787211,0.00009220743,0.00008775918,0.0003637826,0.0004162864,0.002933908],"genre_scores_gemma":[0.9669496,0.002475451,0.02791488,0.00007521968,0.00001125675,0.00003909147,0.0004382156,0.00007903174,0.002017233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000865906,"threshold_uncertainty_score":0.003639817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125016330167291,"score_gpt":0.2094286234610291,"score_spread":0.1969269904443,"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."}}