{"id":"W3165074360","doi":"10.15252/msb.20209536","title":"From coarse to fine: the absolute Escherichia coli proteome under diverse growth conditions","year":2021,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; European Research Council; National Institutes of Health; SystemsX.ch; National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; European Commission; National Research Foundation of Korea; Howard Hughes Medical Institute","keywords":"Biology; Proteome; Escherichia coli; Computational biology; Microbiology; Biochemistry; Gene","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":[0.0008081406,0.0006672,0.0006409239,0.000935771,0.0004822051,0.001634438,0.000505196,0.000509824,0.0006605057],"category_scores_gemma":[0.001413598,0.0003598557,0.0004292099,0.00115969,0.0004232369,0.001243302,0.001156684,0.00119188,0.0004680614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003829165,"about_ca_system_score_gemma":0.0004153641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001199061,"about_ca_topic_score_gemma":0.002058063,"domain_scores_codex":[0.9993636,0.00006432377,0.00003935766,0.0002937931,0.0001947339,0.00004416972],"domain_scores_gemma":[0.999508,0.0001261641,0.00007758812,0.0001415729,0.000101092,0.00004568262],"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":[0.0003514401,0.00005611625,0.01384791,0.0002584188,0.0001133382,0.000112743,0.0001666236,0.006701099,0.9276233,0.001055684,0.001456972,0.04825627],"study_design_scores_gemma":[0.00003793219,0.0002693051,0.1517987,0.00007528171,0.0001627798,0.000754919,0.0002848193,0.1156028,0.7046642,0.01031858,0.0158652,0.0001653809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7719011,0.001548733,0.2091718,0.0003857325,0.00006954483,0.00006897587,0.01107779,0.003515214,0.002260956],"genre_scores_gemma":[0.8067199,0.0009706314,0.1779426,0.0004072594,0.00003651997,0.0001113453,0.01227884,0.0006379096,0.0008950671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001634438,"threshold_uncertainty_score":0.004273891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316984858442262,"score_gpt":0.2740495418554759,"score_spread":0.2608796932710533,"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."}}