{"id":"W2620149390","doi":"10.1016/s1474-6670(17)36919-7","title":"Real stability radii for linear neutral delay systems","year":2000,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stability (learning theory); Control theory (sociology); Mathematics; Applied mathematics; Computer science; Control (management); 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":[0.0004709206,0.0001970629,0.0002581917,0.00004327682,0.0002952487,0.0003274336,0.0006394058,0.0001243811,0.00003727205],"category_scores_gemma":[0.00004693929,0.0001854101,0.0001043798,0.0003810293,0.00008304935,0.001145581,0.00006474984,0.0001436462,0.00002926543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001074766,"about_ca_system_score_gemma":0.00006610803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000118155,"about_ca_topic_score_gemma":0.00001297907,"domain_scores_codex":[0.9982713,0.00002010026,0.0003877744,0.0006171897,0.0002207365,0.000482932],"domain_scores_gemma":[0.9991605,0.00008119441,0.00009440237,0.0002504167,0.0002714267,0.0001420255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008815715,0.001743055,0.1348124,0.00354753,0.0002820912,0.00002275408,0.02019747,0.02035173,0.009185279,0.3874388,0.03882225,0.3827151],"study_design_scores_gemma":[0.0005154919,0.0003079709,0.001986518,0.00003764574,0.0000136902,0.00002559463,0.0000773378,0.9769921,0.001336578,0.002440061,0.01590561,0.0003613442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.955394,0.0001693796,0.0394429,0.0006932263,0.0004727013,0.0009020545,0.00001346926,0.0005527125,0.002359526],"genre_scores_gemma":[0.9873989,0.00007456297,0.01119039,0.00007312102,0.0004084079,0.0001004591,0.000008180777,0.00001773844,0.0007282951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9566404,"threshold_uncertainty_score":0.7560806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968701768865748,"score_gpt":0.2395808320312714,"score_spread":0.2198938143426139,"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."}}