{"id":"W3120634723","doi":"10.1007/s12257-020-0061-2","title":"Genome-scale Modeling of Metabolism and Macromolecular Expression and Their Applications","year":2020,"lang":"en","type":"article","venue":"Biotechnology and Bioprocess Engineering","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computational biology; Organism; Model organism; Proteome; Biology; Genome; Systems biology; Biochemical engineering; Computer science; Gene; Bioinformatics; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002016805,0.0006406271,0.0005246688,0.0001829802,0.0002789712,0.0008091265,0.001029931,0.001039298,0.001465134],"category_scores_gemma":[0.000804033,0.0004162498,0.0005522051,0.0004504751,0.0003725785,0.0006350336,0.0003123766,0.0006681423,0.0004089777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008219621,"about_ca_system_score_gemma":0.0006648246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009481068,"about_ca_topic_score_gemma":0.005603579,"domain_scores_codex":[0.9999199,0.00002555052,0.000002973102,0.00001920128,0.00002301764,0.000009318849],"domain_scores_gemma":[0.9998242,0.0001094299,0.0000138529,0.00002266462,0.0000203606,0.000009449983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001665204,0.00002500304,0.0003623018,0.00002895294,0.00001082834,0.00002469608,0.00001511283,0.9859526,0.005784276,0.004814798,0.0001465976,0.002818054],"study_design_scores_gemma":[0.000004159032,0.000006083262,0.0001373145,0.000001374329,0.000003513597,0.000005684403,0.000004212418,0.995716,0.001386766,0.002113966,0.0006177215,0.000003077935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3943204,0.001444306,0.5713853,0.001145957,0.0001764275,0.00007769385,0.001359047,0.001883395,0.0282076],"genre_scores_gemma":[0.9125826,0.001105,0.08231407,0.0001099859,0.00002975307,0.0001444574,0.0006591475,0.0002525962,0.002802511],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009481068,"threshold_uncertainty_score":0.01885176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004713555053827587,"score_gpt":0.176190820147174,"score_spread":0.1714772650933465,"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."}}