{"id":"W2144670484","doi":"10.1186/s12918-014-0086-2","title":"Proteomics-based metabolic modeling and characterization of the cellulolytic bacterium Thermobifida fusca","year":2014,"lang":"en","type":"article","venue":"BMC Systems Biology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Genome Canada","keywords":"Bioprocess; Cellobiose; Metabolic network; Proteomics; Metabolic engineering; Metabolic flux analysis; Biology; Organism; Metabolic pathway; Computational biology; Bioconversion; Metabolomics; Biomass (ecology); Biofuel; Biotechnology; Systems biology; Model organism; Biochemical engineering; Biochemistry; Metabolism; Bioinformatics; Gene; Fermentation; Enzyme; Genetics; Ecology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002847736,0.000119615,0.0001860894,0.000033475,0.00004366616,0.00001056331,0.0001174297,0.0001482338,0.000001350242],"category_scores_gemma":[0.00005435383,0.00008152713,0.0000520711,0.00006448686,0.00005401958,0.000002142506,0.00004285012,0.00004757345,0.000001155018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003428261,"about_ca_system_score_gemma":0.00003095533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004484783,"about_ca_topic_score_gemma":0.00000444694,"domain_scores_codex":[0.9991905,0.00016659,0.0002269544,0.0002455133,0.00003388723,0.0001365432],"domain_scores_gemma":[0.9994683,0.000003437607,0.0001241497,0.000316398,0.00006223193,0.0000255363],"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":[0.00002088226,0.00001076646,0.001346966,0.00007663011,0.00001228862,6.63461e-9,0.00001100451,0.0006764804,0.9974412,0.0002194627,0.000001952938,0.0001823639],"study_design_scores_gemma":[0.0003502474,0.00008490168,0.004840218,0.00003108966,0.00002768433,0.00001074135,0.000008659114,0.02729247,0.9607447,0.00000718264,0.006448545,0.0001535538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9487216,0.0003618226,0.04983139,0.00002862017,0.0006929429,0.0003114119,0.00001634021,0.00001166001,0.00002421422],"genre_scores_gemma":[0.9989157,0.00003583074,0.0003106314,0.00002522101,0.0004857003,0.00003020707,0.00006851885,0.00001513641,0.0001130933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05019407,"threshold_uncertainty_score":0.332458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007596577772188778,"score_gpt":0.1912795707676538,"score_spread":0.183682992995465,"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."}}