{"id":"W2171740169","doi":"10.1103/physreve.83.011903","title":"Correlation times in stochastic equations with delayed feedback and multiplicative noise","year":2011,"lang":"en","type":"article","venue":"Physical Review E","topic":"stochastic dynamics and bifurcation","field":"Physics and Astronomy","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Multiplicative noise; Multiplicative function; Correlation; Noise (video); Mathematics; Statistical physics; Applied mathematics; Mathematical analysis; Physics; Computer science; Geometry","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":[0.001765571,0.0005125627,0.0006243391,0.001214158,0.000546779,0.001076693,0.0007426724,0.001050145,0.001262862],"category_scores_gemma":[0.00853385,0.0004453714,0.0006479615,0.000721142,0.001895386,0.001649537,0.0009036797,0.001221057,0.0001446706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002653915,"about_ca_system_score_gemma":0.001789506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005898135,"about_ca_topic_score_gemma":0.004041668,"domain_scores_codex":[0.9996025,0.000120904,0.00002319388,0.00005540159,0.0001122512,0.00008571425],"domain_scores_gemma":[0.9950687,0.003213651,0.000860942,0.0001992173,0.0003904201,0.0002671549],"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":[0.00007594912,0.00003635983,0.003334745,0.00006633858,0.0000382642,0.000477401,0.0002604209,0.5349869,0.006945788,0.4498026,0.0005057834,0.003469379],"study_design_scores_gemma":[0.00001181578,0.000008019635,0.0002829743,0.000006745435,0.000005752567,0.00002858449,0.000008485437,0.9662856,0.0005973643,0.03262061,0.0001314285,0.00001248838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6172497,0.0005320674,0.3711547,0.001306485,0.00007962552,0.00006153376,0.00014815,0.0003772563,0.009090576],"genre_scores_gemma":[0.9841318,0.0002401575,0.01185995,0.00008422774,0.00002618744,0.00006287992,0.00007601516,0.0000695726,0.003449274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005898135,"threshold_uncertainty_score":0.01925558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764862876198396,"score_gpt":0.2697691607313066,"score_spread":0.2521205319693226,"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."}}