{"id":"W1497173218","doi":"10.1002/bmb.20166","title":"Measuring intracellular enzyme concentrations","year":2008,"lang":"en","type":"article","venue":"Biochemistry and Molecular Biology Education","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Enzyme; Michaelis–Menten kinetics; Chemistry; Enzyme kinetics; In vivo; Yeast; Biochemistry; Enzyme assay; Specific activity; Kinetics; Chromatography; Biophysics; Biology; Active site","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008389903,0.0001402138,0.00009682278,0.0000279522,0.0001242095,0.000008930421,0.00008300205,0.0001912952,0.000008247936],"category_scores_gemma":[0.0001035243,0.00014612,0.00004343367,0.00007031915,0.0001422152,0.000003208694,0.00003496023,0.00008023465,0.000003963257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001137404,"about_ca_system_score_gemma":0.0001761287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001381549,"about_ca_topic_score_gemma":4.578915e-7,"domain_scores_codex":[0.9992499,0.00003138529,0.0001464317,0.0003610207,0.00004122716,0.0001699865],"domain_scores_gemma":[0.999531,0.000001642033,0.00005165566,0.000247425,0.00008305303,0.0000852695],"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":[0.00001080355,0.00005727527,0.0007197618,0.00001577109,0.00002364421,7.404306e-7,0.00002368873,0.000007339412,0.9966308,0.0002839172,0.0008707914,0.001355477],"study_design_scores_gemma":[0.0001393159,0.00003904032,0.0003042709,0.000007902883,0.00001383752,0.0001833028,0.0000302782,0.000005906706,0.9584819,0.00004323387,0.04058561,0.0001653811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855357,0.006171757,0.007096218,0.0002813566,0.0003354884,0.0001103771,0.0000070448,0.00002377166,0.0004382211],"genre_scores_gemma":[0.9958047,0.0005869474,0.001841674,0.0002226855,0.000480816,0.0000264418,0.0003561688,0.00001292367,0.0006676292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03971482,"threshold_uncertainty_score":0.5958602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009373258921466036,"score_gpt":0.2280914559026077,"score_spread":0.2187181969811417,"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."}}