{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002595336,0.0003617964,0.0002155415,0.000214997,0.0002056269,0.0005437603,0.0005241727,0.0003153136,0.0007798459],"category_scores_gemma":[0.0009995655,0.0001414697,0.0001827844,0.0001322075,0.0007531364,0.0003655714,0.0004668047,0.0004011778,0.00009189315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004366279,"about_ca_system_score_gemma":0.0002036674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006117329,"about_ca_topic_score_gemma":0.0005683987,"domain_scores_codex":[0.9998511,0.00004399228,0.000007393656,0.00004222865,0.00003900263,0.00001629507],"domain_scores_gemma":[0.9996644,0.0001697626,0.00007715081,0.00002901409,0.00003421402,0.00002554138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002020568,0.00008397691,0.0006315619,0.0001303081,0.00003006602,0.0001971955,0.0002398635,0.5191432,0.292989,0.1530705,0.0004401925,0.0328422],"study_design_scores_gemma":[0.00002958702,0.0001333866,0.0002000362,0.000009551695,0.00001208942,0.00005794637,0.00001814186,0.939253,0.02169673,0.03671125,0.001863277,0.00001494522],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.361295,0.0004725762,0.6295149,0.000231699,0.00006954152,0.00003602043,0.00003206009,0.000493727,0.007854454],"genre_scores_gemma":[0.9840639,0.0001657972,0.01393566,0.00002496776,0.0000106858,0.00002829696,0.00001048835,0.0000225437,0.001737739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007798459,"threshold_uncertainty_score":0.003167987,"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."}}