{"id":"W3172489267","doi":"10.4236/am.2021.125031","title":"Reducing Stochastic Discrete Models of Biochemical Networks","year":2021,"lang":"en","type":"article","venue":"Applied Mathematics","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stochastic modelling; Computer science; Stochastic process; Systems biology; Reduction (mathematics); Mathematical model; Sensitivity (control systems); Biological system; Work (physics); Mathematical optimization; Biochemical engineering; Mathematics; Bioinformatics; Engineering; Biology","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":[0.0008853445,0.0009021458,0.0009331159,0.0007522402,0.000378194,0.001034809,0.000913076,0.0009060972,0.001308972],"category_scores_gemma":[0.002934558,0.0004465297,0.001264215,0.0004370954,0.001054649,0.000722605,0.001282915,0.001433751,0.0001895236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555788,"about_ca_system_score_gemma":0.00084079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007001651,"about_ca_topic_score_gemma":0.003779968,"domain_scores_codex":[0.9993953,0.0002996406,0.00002003447,0.00007449267,0.0001675478,0.00004310047],"domain_scores_gemma":[0.998741,0.0008881058,0.000140575,0.00007511691,0.00009687229,0.00005833459],"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":[0.000009178009,0.00001258423,0.0001158288,0.00001799534,0.000009535685,0.00003292745,0.00002076138,0.9702851,0.0007417991,0.0272563,0.0001201182,0.00137792],"study_design_scores_gemma":[0.000001737359,0.000002255287,0.00001995829,8.458824e-7,0.000001475358,0.000002646275,0.000001990803,0.9933314,0.00009134272,0.006412713,0.0001323233,0.000001369262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07534391,0.0005122566,0.9159066,0.000490887,0.00006461536,0.00006669979,0.0002106228,0.0002030241,0.007201363],"genre_scores_gemma":[0.9008483,0.0008829588,0.08945148,0.0001321437,0.00009856417,0.0002792381,0.0003991887,0.0001260456,0.007782129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007001651,"threshold_uncertainty_score":0.0139218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01073371237119574,"score_gpt":0.2275376374842397,"score_spread":0.216803925113044,"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."}}