{"id":"W2104861057","doi":"10.1155/2013/698341","title":"Complexity Analysis and Parameter Estimation of Dynamic Metabolic Systems","year":2013,"lang":"en","type":"article","venue":"Computational and Mathematical Methods in Medicine","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Estimation theory; Rational function; Nonlinear system; Computer science; Applied mathematics; Differential (mechanical device); Mathematical optimization; Dynamical systems theory; Mathematics; Biological system; Control theory (sociology); Algorithm; Mathematical analysis; Physics; Artificial intelligence","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":[0.001314611,0.0008050685,0.0009313005,0.001462038,0.0004488717,0.001077865,0.0006609364,0.0007118318,0.0007197157],"category_scores_gemma":[0.007966059,0.0004191464,0.001010554,0.0007361671,0.0009328683,0.001497181,0.001097209,0.00116232,0.0001422361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008325934,"about_ca_system_score_gemma":0.0007520122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003320303,"about_ca_topic_score_gemma":0.001193051,"domain_scores_codex":[0.9991854,0.0002665955,0.00005315851,0.0001864597,0.0002415833,0.00006692173],"domain_scores_gemma":[0.9960961,0.002791509,0.0005054122,0.0002023708,0.0003280626,0.00007662165],"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":[0.00004991351,0.00001801033,0.002489406,0.00007770064,0.00005412339,0.00008874918,0.00007793262,0.9378585,0.003404095,0.02453646,0.0002831809,0.03106205],"study_design_scores_gemma":[0.000001606105,0.00000640771,0.0003227123,0.000002819577,0.000004016238,0.00001352983,0.000005800611,0.9903228,0.0004186216,0.008722223,0.0001726483,0.000006798327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01864511,0.000129428,0.9804814,0.00008324832,0.000007245804,0.00001368187,0.00003857207,0.00006267126,0.000538615],"genre_scores_gemma":[0.8123822,0.0005372731,0.1852518,0.00005382529,0.00006911554,0.000134697,0.0003830048,0.00007415051,0.001113928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003320303,"threshold_uncertainty_score":0.006952405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02434213676563215,"score_gpt":0.3568490248819234,"score_spread":0.3325068881162913,"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."}}