{"id":"W2057841589","doi":"10.1128/jb.05624-11","title":"Network Identification and Flux Quantification of Glucose Metabolism in Rhodobacter sphaeroides under Photoheterotrophic H <sub>2</sub> -Producing Conditions","year":2011,"lang":"en","type":"article","venue":"Journal of Bacteriology","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Atlantic Canada Opportunities Agency","keywords":"Rhodobacter sphaeroides; Biochemistry; Phosphoenolpyruvate carboxylase; Flux (metallurgy); Biology; Rhodospirillaceae; Citric acid cycle; Metabolic flux analysis; Phosphoenolpyruvate carboxykinase; Hydrogenase; Intracellular; Rhodospirillales; Metabolism; Pyruvate carboxylase; Malic enzyme; Metabolic pathway; Rhodopseudomonas palustris; NAD+ kinase; Enzyme; Bacteria; Photosynthesis; Chemistry; Dehydrogenase","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":[0.0001686397,0.0004976869,0.0003319232,0.0008966031,0.0002099501,0.0003477849,0.0002277923,0.0002842804,0.0003915109],"category_scores_gemma":[0.000335539,0.0001387986,0.0003393212,0.000860468,0.0001364603,0.0003783745,0.000219911,0.0002178246,0.0001020855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005745227,"about_ca_system_score_gemma":0.000252664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003486958,"about_ca_topic_score_gemma":0.002877704,"domain_scores_codex":[0.9998459,0.00002867591,0.00000909439,0.00006840147,0.00002946543,0.00001849541],"domain_scores_gemma":[0.9998318,0.00003992933,0.00004943143,0.00001401694,0.00004220605,0.00002254612],"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":[0.0005176984,0.00008247325,0.02505667,0.00033822,0.0001408921,0.000153142,0.0001086992,0.02657971,0.91979,0.000785353,0.0002871191,0.02616013],"study_design_scores_gemma":[0.00002866404,0.0003612621,0.2140487,0.00003598782,0.0002010182,0.0002745359,0.0002253862,0.4691558,0.3096449,0.002263666,0.003700841,0.00005919338],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605499,0.0006181557,0.03415702,0.00007790186,0.00001107053,0.00005014061,0.003166286,0.0003759858,0.0009935187],"genre_scores_gemma":[0.9611211,0.0005849171,0.0324681,0.00001942469,0.000007116033,0.0001183891,0.005115754,0.0000361704,0.0005289373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003486958,"threshold_uncertainty_score":0.006933331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277232024288841,"score_gpt":0.2241579769486038,"score_spread":0.2013856567057154,"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."}}