{"id":"W2096159618","doi":"10.1109/iembs.2007.4352557","title":"Stability Analysis of Genetic Regulatory Networks with Multiple Time Delays","year":2007,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Genetic network; Stability (learning theory); Gene regulatory network; Statistic; Computer science; Genetic algorithm; Nonlinear system; Control theory (sociology); Mathematics; Gene; Mathematical optimization; Biology; Genetics; Statistics; Gene expression; Artificial intelligence; Control (management); Physics","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":[0.0005946372,0.0005436976,0.0003917702,0.000838155,0.0004334645,0.0005420088,0.0005859321,0.0004426185,0.000928453],"category_scores_gemma":[0.002348909,0.0001914733,0.000465558,0.0003802434,0.0008222751,0.0006196107,0.0005310549,0.0005191123,0.0001239336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001319848,"about_ca_system_score_gemma":0.0006113959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002241323,"about_ca_topic_score_gemma":0.001240474,"domain_scores_codex":[0.9996171,0.00008357051,0.00001216451,0.0001157225,0.0001224444,0.00004889319],"domain_scores_gemma":[0.998593,0.000736672,0.0002880739,0.00004822105,0.0002436716,0.0000902668],"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":[0.0002008502,0.0000410703,0.002325448,0.00007497815,0.00009092243,0.0004250893,0.0001661858,0.8193613,0.05085907,0.1133889,0.0004640326,0.01260212],"study_design_scores_gemma":[0.000008003554,0.00002225645,0.0003524082,0.000002710837,0.000009946591,0.00003092817,0.0000140635,0.9814811,0.002242089,0.01561638,0.0002119509,0.000008204503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.376657,0.0007146142,0.6150035,0.000327531,0.00003723101,0.00005041839,0.00009083388,0.0001703295,0.006948604],"genre_scores_gemma":[0.9886827,0.0002027962,0.008782181,0.00001901913,0.000022172,0.0000477069,0.0000450777,0.00002044247,0.002177906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002241323,"threshold_uncertainty_score":0.009576261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009099273766632759,"score_gpt":0.2124406375171351,"score_spread":0.2033413637505024,"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."}}