{"id":"W3196332373","doi":"10.1101/2021.08.27.458000","title":"Context-Dependent Flux Coupling via Conserved Small-Molecule Regulatory Structures","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario; Genome Canada","keywords":"Metabolic network; Flux (metallurgy); Context (archaeology); Metabolome; Metabolomics; Biology; Small molecule; Biochemistry; Phosphoenolpyruvate carboxykinase; Glyoxylate cycle; Computational biology; Chemistry; Metabolism; Enzyme; Bioinformatics","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":[0.000223563,0.0002264929,0.0002730953,0.0001517102,0.0001478242,0.0005269329,0.0002595809,0.0002551283,0.00121366],"category_scores_gemma":[0.0007871831,0.0001263758,0.0002335733,0.000114635,0.0004084794,0.0004048433,0.000272743,0.0004024839,0.0001808656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002881803,"about_ca_system_score_gemma":0.0002142852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003164963,"about_ca_topic_score_gemma":0.0002985286,"domain_scores_codex":[0.999862,0.00002467182,0.000005691119,0.00006364994,0.00002486302,0.0000190397],"domain_scores_gemma":[0.9996698,0.0001191027,0.00009507381,0.00005942275,0.00002508733,0.00003140486],"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":[0.0001811241,0.00005362228,0.005029012,0.0001158937,0.0000441587,0.0001950993,0.00005729977,0.03986531,0.9255758,0.01376911,0.0003346968,0.01477894],"study_design_scores_gemma":[0.00004642334,0.000257735,0.02093021,0.00002003525,0.00007758826,0.0003929193,0.00007493501,0.5133747,0.4206406,0.0381599,0.005975333,0.00004961331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.865847,0.0004099438,0.1296037,0.0001994923,0.00004315427,0.00002493239,0.0001629497,0.0007065154,0.003002244],"genre_scores_gemma":[0.9925649,0.00007546067,0.006853042,0.00003017916,0.000009250834,0.00001340332,0.00008140652,0.00002504227,0.000347337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00121366,"threshold_uncertainty_score":0.004060149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009271109836369109,"score_gpt":0.1976453718731639,"score_spread":0.1883742620367948,"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."}}