{"id":"W2252493907","doi":"10.1016/j.jtbi.2016.07.004","title":"Mathematical model of galactose regulation and metabolic consumption in yeast","year":2016,"lang":"en","type":"preprint","venue":"Journal of Theoretical Biology","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Galactose; Systems biology; Bistability; DECIPHER; Metabolic network; Biological system; Gene regulatory network; Adaptation (eye); Computer science; Computational biology; Biochemical engineering; Biology; Bioinformatics; Genetics; Biochemistry; Physics; Gene; Neuroscience","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":[0.001013362,0.0009903546,0.001279666,0.0008609918,0.0005592507,0.002327577,0.002572856,0.002766324,0.005976885],"category_scores_gemma":[0.003296924,0.0005235408,0.001059504,0.0009748808,0.001389658,0.001602787,0.001479071,0.001657887,0.0006806387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002637465,"about_ca_system_score_gemma":0.001539618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01164328,"about_ca_topic_score_gemma":0.004983165,"domain_scores_codex":[0.9996004,0.000149264,0.00002098467,0.00007316167,0.00008182014,0.00007446158],"domain_scores_gemma":[0.998917,0.0005691698,0.0001788255,0.0000558494,0.0001457468,0.0001334401],"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":[0.0000899397,0.00008307225,0.0008735584,0.0001054975,0.00005711171,0.000229679,0.0001077964,0.5318699,0.002511096,0.4586931,0.002489923,0.00288926],"study_design_scores_gemma":[0.00003483244,0.00001484916,0.0001815078,0.000006338053,0.0000153643,0.00003535028,0.00002287376,0.9285625,0.000109258,0.0705007,0.0005013871,0.00001513741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3687583,0.003259501,0.5115173,0.01504137,0.0003835692,0.0001196104,0.002658899,0.0004941711,0.09776727],"genre_scores_gemma":[0.9588325,0.0009844672,0.01217303,0.0003852349,0.0001608575,0.0001670303,0.0004309673,0.00008889112,0.02677712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01164328,"threshold_uncertainty_score":0.02315104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02341315742109276,"score_gpt":0.3135066366860297,"score_spread":0.290093479264937,"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."}}