{"id":"W3184405228","doi":"10.15252/msb.202010099","title":"Genome‐scale metabolic modeling reveals key features of a minimal gene set","year":2021,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Novo Nordisk Fonden; Novo Nordisk","keywords":"Biology; Genome; In silico; Computational biology; Gene; Metabolic network; Model organism; Organism; Genetics","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":[0.00009116845,0.0003456799,0.0002814759,0.0001511974,0.0001928158,0.0003563263,0.0003534056,0.0002165145,0.0003563814],"category_scores_gemma":[0.0002021368,0.0001317327,0.0003592798,0.0001526258,0.0001771974,0.0002135766,0.0001615289,0.000324915,0.00007728859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004607822,"about_ca_system_score_gemma":0.0004498172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002905339,"about_ca_topic_score_gemma":0.003166649,"domain_scores_codex":[0.9999739,0.000004460988,0.000001155548,0.000009153439,0.000006891124,0.000004372694],"domain_scores_gemma":[0.9999654,0.00001592763,0.00000463475,0.000005736654,0.000004211115,0.000004125091],"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":[0.0001884823,0.00007392437,0.005968835,0.0001339162,0.00003754424,0.0002550577,0.00008945839,0.7088212,0.2623037,0.01274306,0.0002899805,0.009094992],"study_design_scores_gemma":[0.00001543268,0.00008765693,0.001865585,0.000004606032,0.00001754619,0.00005175139,0.00003482731,0.9728628,0.01867573,0.004985355,0.00139044,0.000008322236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9486509,0.0000896182,0.04817686,0.0001063641,0.000006125448,0.00001170904,0.0005583871,0.0002797434,0.002120279],"genre_scores_gemma":[0.9664699,0.0001224466,0.03175035,0.00001315488,0.000001464863,0.00002740975,0.001189483,0.0000526159,0.0003730485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002905339,"threshold_uncertainty_score":0.005776942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00867065859917335,"score_gpt":0.2292108246655821,"score_spread":0.2205401660664087,"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."}}