{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001857593,0.0006785392,0.0003539344,0.0002801597,0.0002740262,0.0004997653,0.000406286,0.000459847,0.0003910936],"category_scores_gemma":[0.0002607467,0.000182998,0.0006763709,0.0004715273,0.0001578186,0.0003406414,0.0002807699,0.0002669369,0.0001428985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000771162,"about_ca_system_score_gemma":0.0005866524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009520161,"about_ca_topic_score_gemma":0.003318052,"domain_scores_codex":[0.9999206,0.000009134884,0.000006843761,0.00002909568,0.00002369562,0.00001064156],"domain_scores_gemma":[0.9999213,0.00002049252,0.0000191862,0.00001243975,0.00001793276,0.000008612229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003050095,0.0002052463,0.01292835,0.0001826821,0.00006591249,0.0002296815,0.0001065528,0.4687382,0.5079209,0.0006893438,0.0001159053,0.008512252],"study_design_scores_gemma":[0.0000228871,0.0002134675,0.01145259,0.000007600409,0.00003562493,0.0001090618,0.00006473385,0.8908508,0.09605453,0.0004617722,0.0007026736,0.00002431639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835986,0.00009664136,0.01493289,0.00002999313,0.000003174692,0.00001738507,0.0007882543,0.0001042162,0.0004288193],"genre_scores_gemma":[0.9816626,0.0001764219,0.01637007,0.000006540606,0.00000172602,0.00004778066,0.001541939,0.00002156171,0.0001713185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009520161,"threshold_uncertainty_score":0.01892954,"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."}}