{"id":"W2807935341","doi":"10.1155/2018/8241784","title":"Stability Analysis of Additive Runge-Kutta Methods for Delay-Integro-Differential Equations","year":2018,"lang":"en","type":"article","venue":"International Journal of Differential Equations","topic":"Numerical methods for differential equations","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Runge–Kutta methods; Mathematics; Stability (learning theory); Differential equation; Mathematical analysis; Applied mathematics; Computer science","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":[0.001446546,0.0009546367,0.000678385,0.0008448879,0.0004779732,0.00106207,0.0008576788,0.0005573889,0.0009858443],"category_scores_gemma":[0.002666142,0.0002965731,0.0009013669,0.0003007964,0.001278108,0.0008170413,0.001673082,0.001091685,0.0002251747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006347586,"about_ca_system_score_gemma":0.0006688034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001578375,"about_ca_topic_score_gemma":0.0008885399,"domain_scores_codex":[0.9991617,0.0002725957,0.00004871192,0.0001087208,0.0003526812,0.00005555785],"domain_scores_gemma":[0.9986253,0.0006739534,0.0001922277,0.00007536249,0.0003760905,0.00005714934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002351335,0.00004449057,0.001094502,0.000347334,0.0001526422,0.0001707965,0.0004022266,0.7403208,0.04295391,0.1751262,0.0004807122,0.0386713],"study_design_scores_gemma":[0.000005072397,0.0000331308,0.0001100532,0.0000124643,0.00001352665,0.00001938609,0.00001127036,0.9874406,0.002598611,0.009176225,0.0005693406,0.00001040227],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0326835,0.0006533237,0.9626924,0.0001052329,0.00006093387,0.00002911405,0.00001687406,0.0001329041,0.003625703],"genre_scores_gemma":[0.9008717,0.0008541347,0.09248618,0.00007227821,0.00009199398,0.0001468895,0.00004902851,0.0001202055,0.005307565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001578375,"threshold_uncertainty_score":0.007650137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1258062237523844,"score_gpt":0.4696962448442443,"score_spread":0.3438900210918598,"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."}}