{"id":"W4401633924","doi":"10.1109/tac.2024.3444868","title":"Risk-Aware Stability of Linear Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Anne Tanenbaum Centre for Jewish Studies, University of Toronto; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Department of Electrical and Computer Engineering, Western Michigan University","keywords":"Stability (learning theory); Linear system; Computer science; Control theory (sociology); Mathematics; Control (management); Artificial intelligence; Mathematical analysis; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000325924,0.0001983278,0.0003854807,0.0001904233,0.00007616178,0.00005433897,0.000107078,0.0001183073,0.0002284283],"category_scores_gemma":[0.000007873527,0.0001768729,0.0002264659,0.0002851236,0.0000319718,0.0001049103,2.184443e-7,0.000234904,0.0002168875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001196642,"about_ca_system_score_gemma":0.00003397422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001317466,"about_ca_topic_score_gemma":0.00004917789,"domain_scores_codex":[0.9986724,0.0001203233,0.0005478475,0.0001955583,0.0002553744,0.0002085476],"domain_scores_gemma":[0.9991291,0.0003446133,0.00004321835,0.0003483866,0.00004745304,0.00008721364],"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":[0.00006017136,0.0001539079,0.00002777729,0.00263237,0.001168947,0.00001513867,0.0008961032,0.873965,0.01653602,0.00006117309,0.000306271,0.1041771],"study_design_scores_gemma":[0.0006852538,0.00009360346,0.00004444287,0.0001881093,0.0001374755,0.00001255504,0.0001614829,0.9934713,0.00422727,0.000007351516,0.0008154746,0.0001556297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1058743,0.0005757427,0.8867317,0.00003292843,0.003550148,0.0006516738,0.0002629009,0.001927969,0.0003925756],"genre_scores_gemma":[0.999512,0.00002413872,0.00003133062,0.000007820576,0.00006918976,0.0002050132,7.535076e-7,0.00004302663,0.0001067773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8936377,"threshold_uncertainty_score":0.7212669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008630616999514682,"score_gpt":0.2217491644210655,"score_spread":0.2131185474215508,"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."}}