{"id":"W2810939921","doi":"10.1155/2018/4725148","title":"Stochastic Stability of Coupled Viscoelastic Systems Excited by Real Noise","year":2018,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lyapunov exponent; Mathematics; Moment (physics); Lyapunov function; Lyapunov equation; Mathematical analysis; Stability (learning theory); Parametric statistics; Noise (video); Viscoelasticity; Eigenvalues and eigenvectors; Statistical physics; Control theory (sociology); Applied mathematics; Nonlinear system; Physics; Classical mechanics; Statistics; Computer science; Quantum mechanics","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":[0.003203616,0.0002737599,0.000711087,0.0002950988,0.00004067385,0.00008485966,0.0006329443,0.0001555977,0.000166573],"category_scores_gemma":[0.006726541,0.0002090474,0.00008418468,0.0009677046,0.0002137662,0.0001666649,0.0001308009,0.0002434124,0.00009588551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001184358,"about_ca_system_score_gemma":0.00004608836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003263783,"about_ca_topic_score_gemma":0.000002239081,"domain_scores_codex":[0.9965013,0.00007378223,0.001451135,0.000491301,0.001000895,0.0004815706],"domain_scores_gemma":[0.9959496,0.002706436,0.0001829942,0.0007122007,0.0002705526,0.0001782319],"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":[0.00001507544,0.0002022014,0.0001161704,0.0005579916,0.00002064939,0.000002169916,0.0006955063,0.9684544,0.01566741,0.01402772,0.0001772268,0.00006344231],"study_design_scores_gemma":[0.0003442456,0.0001171602,0.0001287698,0.0003682805,0.00001303861,0.000007581431,0.00008006416,0.9897177,0.0001899344,0.00878481,0.00002201969,0.0002263684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06720332,0.0001123145,0.9310711,0.00001583279,0.0003151183,0.0005370638,0.00001392633,0.0001267531,0.0006045803],"genre_scores_gemma":[0.9964792,0.000002150775,0.00325347,0.000002661142,0.0000634483,0.00006963093,0.000002491055,0.00003498158,0.00009194986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9292759,"threshold_uncertainty_score":0.8524707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05305208254058862,"score_gpt":0.2905615334065,"score_spread":0.2375094508659114,"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."}}