{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005477525,0.0002343309,0.0004191163,0.0001752441,0.00007245728,0.00002609385,0.0003041969,0.000207636,0.0001041996],"category_scores_gemma":[0.00005514675,0.0002112661,0.0002044029,0.0009492227,0.0002569062,0.000007239525,0.0001114668,0.0001003364,0.00000300589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002710702,"about_ca_system_score_gemma":0.00008170911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001606097,"about_ca_topic_score_gemma":0.0001324762,"domain_scores_codex":[0.9983245,0.00001443399,0.0004274894,0.0005699514,0.0002610667,0.0004026008],"domain_scores_gemma":[0.998466,0.000020334,0.0002810946,0.0003778119,0.0006876597,0.0001671622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002256294,0.00007395732,0.7438365,0.00002402616,0.001328726,0.000001343707,0.0001403233,0.003182738,0.248992,0.00004686519,0.0001709675,0.001976914],"study_design_scores_gemma":[0.0005442274,0.0003480646,0.7658201,0.00002375758,0.001851099,0.00000723671,0.0003112085,0.1010271,0.1289895,0.00002692739,0.0005383902,0.000512354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571366,0.0003313428,0.04157458,0.00001222158,0.00001655786,0.0001638154,0.000005633654,0.00002161525,0.0007376195],"genre_scores_gemma":[0.9966377,0.00003254316,0.002960006,0.00003579331,0.00008861894,0.00001000899,0.00006052801,0.00002407449,0.0001507118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1200025,"threshold_uncertainty_score":0.8615184,"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."}}