{"id":"W2738141243","doi":"","title":"Small gain theorems on input-to-output stability (English summary): Engineering applications and computational algorithms (Guelph, ON, 2003)","year":2003,"lang":"en","type":"article","venue":"Dynamics of Continuous Discrete and Impulsive Systems-series B-applications & Algorithms","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Stability (learning theory); Algorithm; Computer science; Mathematics; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007534272,0.001660423,0.001195264,0.001541352,0.0003371326,0.001606568,0.001229931,0.000882616,0.01186326],"category_scores_gemma":[0.002289964,0.0003445215,0.0005886015,0.00252452,0.001323604,0.002000717,0.0008665766,0.001980276,0.004321771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001070811,"about_ca_system_score_gemma":0.0005005589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002412281,"about_ca_topic_score_gemma":0.003315609,"domain_scores_codex":[0.9997587,0.00003673794,0.00002266646,0.00005371118,0.0001102443,0.00001803251],"domain_scores_gemma":[0.9993795,0.000349769,0.00003684092,0.00004245446,0.0001735165,0.00001795586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000119545,0.00006601551,0.0003074549,0.001761219,0.0001223689,0.0002820576,0.0003651674,0.03188496,0.00427785,0.33247,0.2721178,0.3562255],"study_design_scores_gemma":[0.00005728082,0.0002251805,0.002212306,0.0008477037,0.0001811759,0.0006626125,0.0001575465,0.09738689,0.005834199,0.5406333,0.3516939,0.0001079314],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003920429,0.1617316,0.7351034,0.005171055,0.01113612,0.00008728086,0.001017571,0.001066727,0.08076583],"genre_scores_gemma":[0.265937,0.2732534,0.2600609,0.005785132,0.02122686,0.0009875493,0.003709706,0.001379897,0.1676596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01186326,"threshold_uncertainty_score":0.03968656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007454183804536609,"score_gpt":0.2039659255796113,"score_spread":0.1965117417750747,"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."}}