{"id":"W2508558449","doi":"10.1109/ccdc.2016.7531326","title":"Dynamical analysis in an exploited two-species competition model with double time delays","year":2016,"lang":"en","type":"article","venue":"","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Intraspecific competition; Stability (learning theory); Nonlinear system; Competition (biology); Consistency (knowledge bases); Population; Lyapunov function; Nonlinear dynamical systems; Computer science; Applied mathematics; Control theory (sociology); Mathematics; Mathematical optimization; Statistical physics; Ecology; Physics; Control (management); Biology","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":[0.0002919142,0.0005138999,0.0006407916,0.0004318178,0.0004837289,0.0008609811,0.0008143845,0.0009210119,0.001463582],"category_scores_gemma":[0.0006076808,0.0002385724,0.000707133,0.0003324898,0.0006421485,0.0008933359,0.000892909,0.000604663,0.0001165789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000759916,"about_ca_system_score_gemma":0.00061876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00605718,"about_ca_topic_score_gemma":0.00363283,"domain_scores_codex":[0.9998062,0.00004897581,0.00001059229,0.0000545168,0.00003893715,0.00004071804],"domain_scores_gemma":[0.9997228,0.00008595903,0.0001012725,0.00001236941,0.00004253264,0.00003502889],"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":[0.00008217792,0.00005244936,0.002781583,0.0001188973,0.00008937888,0.001027255,0.0002132674,0.9029433,0.01032677,0.0782172,0.0005126776,0.003634981],"study_design_scores_gemma":[0.00001337138,0.00003374284,0.0003725213,0.000003669552,0.00001421169,0.00007568795,0.00002713403,0.9937342,0.0001716563,0.005230891,0.0003131332,0.000009878639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4643813,0.001003843,0.5168728,0.000888645,0.000101092,0.00007654314,0.0002713905,0.000121686,0.01628255],"genre_scores_gemma":[0.9903302,0.0002450347,0.005388517,0.00003518357,0.00002113326,0.00005971688,0.00004672067,0.000008137361,0.003865444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00605718,"threshold_uncertainty_score":0.01204383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03281071510633023,"score_gpt":0.2910648175606376,"score_spread":0.2582541024543074,"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."}}