{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007620372,0.001278272,0.001083689,0.001149784,0.0005409814,0.001002971,0.001138392,0.001375282,0.002809408],"category_scores_gemma":[0.0009805248,0.0003493164,0.0005325883,0.001173329,0.0006100409,0.001039673,0.0008985551,0.002389488,0.002164899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005695829,"about_ca_system_score_gemma":0.0003850218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004014487,"about_ca_topic_score_gemma":0.0006152153,"domain_scores_codex":[0.9982256,0.0001712204,0.0001266493,0.0007202851,0.000589858,0.0001664064],"domain_scores_gemma":[0.9991781,0.000217902,0.0001189962,0.0001443411,0.0002516916,0.00008889212],"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":[0.0001106505,0.00005369542,0.000968085,0.0001450894,0.0000128767,0.00005980123,0.0001053298,0.00007327097,0.9896089,0.0003011588,0.0001583441,0.00840285],"study_design_scores_gemma":[0.000008783575,0.0002185433,0.002235739,0.0000142811,0.00003573887,0.0001434001,0.00005948966,0.001060269,0.9932165,0.0002741189,0.002718616,0.00001459656],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5045574,0.0146922,0.4446044,0.001047474,0.001310169,0.0009176927,0.006818273,0.003328384,0.02272402],"genre_scores_gemma":[0.679094,0.01017378,0.2823903,0.0006452754,0.0003350027,0.002187521,0.004672539,0.0003992509,0.02010231],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002809408,"threshold_uncertainty_score":0.009398401,"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."}}