{"id":"W2076920204","doi":"10.1016/j.ymben.2015.01.002","title":"Metabolic transistor strategy for controlling electron transfer chain activity in Escherichia coli","year":2015,"lang":"en","type":"article","venue":"Metabolic Engineering","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of General Medical Sciences; U.S. Public Health Service; National Institutes of Health; Petroleum Technology Research Centre","keywords":"Escherichia coli; Chain (unit); Electron transfer; Computational biology; Chemistry; Biology; Biochemistry; Physics; Gene; Photochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006796927,0.0003258945,0.0004898932,0.000162849,0.00003540445,0.00003038057,0.0001714614,0.0002060221,0.000002425171],"category_scores_gemma":[0.0001392197,0.0003356548,0.0001677555,0.0003060962,0.00002060413,0.00001680909,0.00001361004,0.0002110928,0.000002213706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002491942,"about_ca_system_score_gemma":0.00009899891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007520517,"about_ca_topic_score_gemma":0.00004988038,"domain_scores_codex":[0.9984791,0.00005123749,0.0003053248,0.0004741117,0.0001369563,0.0005532981],"domain_scores_gemma":[0.999418,0.000007806696,0.00003319277,0.0002891379,0.00008771277,0.0001641187],"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":[0.0001688895,0.00006064819,0.0000252673,0.00003550696,0.00007602281,6.897727e-7,0.000081317,0.08130033,0.9157344,0.0006399688,0.00003731102,0.001839665],"study_design_scores_gemma":[0.002049324,0.0001287984,0.001089934,0.00001141914,0.00006966411,0.00000585827,0.00001875027,0.006885827,0.8689967,0.000009048718,0.1203392,0.0003954588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8684657,0.01004005,0.120248,0.0000746521,0.0005318508,0.0005048988,0.00002423185,0.00006650753,0.00004415558],"genre_scores_gemma":[0.9957899,0.0004139246,0.002325709,0.00003907249,0.0009347349,0.0001776443,0.00004073603,0.0000722047,0.0002060125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1273243,"threshold_uncertainty_score":0.9999095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341429004003331,"score_gpt":0.2275002788012916,"score_spread":0.2140859887612583,"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."}}