{"id":"W2109586101","doi":"10.1002/bit.25879","title":"Dynamic metabolic flux analysis using a convex analysis approach: Application to hybridoma cell cultures in perfusion","year":2015,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Metabolic flux analysis; Flux balance analysis; Biological system; Overdetermined system; Flux (metallurgy); Smoothing; Metabolic network; Computer science; Applied mathematics; Mathematics; Chemistry; Statistics; Biology; Biochemistry; Metabolism","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":[0.0009829369,0.001024946,0.001015698,0.0005991534,0.0002902663,0.0006937165,0.0004959041,0.0005992176,0.0005100624],"category_scores_gemma":[0.001452743,0.0002946845,0.001015577,0.0005302077,0.0005285176,0.0003938244,0.0006916886,0.0009967126,0.0001140592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007786809,"about_ca_system_score_gemma":0.0005844607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004750513,"about_ca_topic_score_gemma":0.002425656,"domain_scores_codex":[0.9996965,0.0001101631,0.00001574297,0.00008807964,0.000066972,0.00002254147],"domain_scores_gemma":[0.9991933,0.0005894261,0.00006527146,0.00003360861,0.00009431361,0.00002409523],"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":[0.0001587868,0.00006101288,0.001223451,0.0001754534,0.00009743631,0.0002361299,0.0001057917,0.8563128,0.0860545,0.00814545,0.0003424607,0.04708673],"study_design_scores_gemma":[0.000001765921,0.00001950072,0.0002699676,0.00000215664,0.000005318139,0.00001847029,0.000007278309,0.9932501,0.004918177,0.001267754,0.0002311336,0.000008357221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02248498,0.0001842214,0.9766616,0.00005436422,0.000007064098,0.00001725285,0.00006097073,0.00009871153,0.0004308454],"genre_scores_gemma":[0.5246161,0.0009569149,0.4721957,0.00005762483,0.00003439722,0.0002575245,0.0003523063,0.0001333126,0.001396148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004750513,"threshold_uncertainty_score":0.009445727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007015740528974073,"score_gpt":0.2473535491303135,"score_spread":0.2403378086013394,"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."}}