{"id":"W4302024905","doi":"10.1016/j.cnsns.2022.106914","title":"Optimality and sustainability of delayed impulsive harvesting","year":2022,"lang":"en","type":"article","venue":"Communications in Nonlinear Science and Numerical Simulation","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Stability (learning theory); Applied mathematics; Population; Yield (engineering); Logistic function; Differential equation; Extinction (optical mineralogy); Control theory (sociology); Function (biology); Mathematical analysis; Statistics; Economics; Computer science; Physics; Thermodynamics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001660032,0.0003317505,0.0007103122,0.0006251703,0.0005724685,0.002030471,0.000708123,0.001138476,0.003621541],"category_scores_gemma":[0.01066331,0.0003773299,0.0003883718,0.0005302004,0.002519217,0.002013953,0.001840692,0.0009834751,0.0001988423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586488,"about_ca_system_score_gemma":0.001263488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002540328,"about_ca_topic_score_gemma":0.001530365,"domain_scores_codex":[0.9995066,0.000217143,0.00002552323,0.00007066464,0.00006058949,0.0001194287],"domain_scores_gemma":[0.9956467,0.003148564,0.0004292628,0.0001328854,0.0004022712,0.0002403375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001390986,0.00005274103,0.003980935,0.0001523444,0.00005066148,0.0001664847,0.0002963184,0.2386365,0.00175264,0.7403343,0.002299296,0.01213866],"study_design_scores_gemma":[0.00002221693,0.00004166838,0.001572089,0.00002697103,0.00001397666,0.00006576822,0.0002682165,0.1575678,0.0002928156,0.8388934,0.001221664,0.00001350288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7381428,0.001854266,0.1784935,0.009648548,0.0002006992,0.00004432978,0.0003729572,0.00009339864,0.07114952],"genre_scores_gemma":[0.99454,0.0003326702,0.001826962,0.0001247035,0.00003465108,0.00001130001,0.00003785923,0.00001732719,0.003074629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003621541,"threshold_uncertainty_score":0.0121153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04536635785172403,"score_gpt":0.3867700692948945,"score_spread":0.3414037114431705,"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."}}