{"id":"W3120435289","doi":"10.1109/cdc42340.2020.9304088","title":"Control of negative feedback loops in genetic networks","year":2020,"lang":"en","type":"article","venue":"","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Ode; Control theory (sociology); Negative feedback; Control (management); Feedback loop; Piecewise; Computer science; Loop (graph theory); Mode (computer interface); Sliding mode control; Mathematics; Physics; Nonlinear system; Applied mathematics; Mathematical analysis; Quantum mechanics; Artificial intelligence","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":[0.00006585128,0.0001175226,0.0002179608,0.00002348693,0.00001328445,0.000005350348,0.0001556312,0.0001094054,0.00008268216],"category_scores_gemma":[0.0000383756,0.0001108111,0.0001083992,0.0002270435,0.00006150203,0.000001137495,0.00005753422,0.00005987715,0.000007111978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005632353,"about_ca_system_score_gemma":0.00003304555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002357717,"about_ca_topic_score_gemma":0.00007450937,"domain_scores_codex":[0.9991314,0.00007422005,0.0002547457,0.0002696933,0.00008415077,0.0001857467],"domain_scores_gemma":[0.9995554,0.00001257015,0.00007960692,0.0002030576,0.00005726292,0.00009209148],"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":[0.0003784479,0.00009390469,0.1527879,0.00002933214,0.0004093073,0.00001017803,0.0001047254,0.5822186,0.2544782,0.0001192612,0.004045924,0.005324319],"study_design_scores_gemma":[0.008042226,0.001267907,0.2092806,0.00003330817,0.000283324,0.00001000901,0.0003825515,0.4980021,0.2738323,0.0002046694,0.00759063,0.001070401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9346789,0.001278347,0.06259632,0.0003766039,0.00002998485,0.0001731795,0.00000364756,0.000007758857,0.0008552277],"genre_scores_gemma":[0.9979161,0.00007735383,0.0009502877,0.0007472932,0.0001750164,0.000006849894,0.00001185937,0.00001453523,0.0001007251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08421648,"threshold_uncertainty_score":0.4518746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006227399995115334,"score_gpt":0.2032961675923849,"score_spread":0.1970687675972696,"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."}}