{"id":"W2307554638","doi":"10.1007/s00245-016-9331-y","title":"Optimal Harvesting in a Periodic Food Chain Model with Size Structures in Predators","year":2016,"lang":"en","type":"article","venue":"Applied Mathematics & Optimization","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"National Natural Science Foundation of China","keywords":"Mathematics; Banach space; Fixed-point theorem; Chain (unit); Food chain; Cone (formal languages); Net (polyhedron); Applied mathematics; Mathematical analysis; Ecology; Algorithm; 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":[0.001424753,0.0005560523,0.001242294,0.0006927371,0.0006569705,0.001585255,0.001876868,0.002008375,0.002903457],"category_scores_gemma":[0.005289825,0.0008406915,0.0008072689,0.0007168927,0.001724554,0.002140204,0.001266219,0.0008993029,0.0002928254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111708,"about_ca_system_score_gemma":0.0009247965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005406439,"about_ca_topic_score_gemma":0.003822872,"domain_scores_codex":[0.9996662,0.0001336937,0.00001680318,0.00007174818,0.00003594222,0.00007557261],"domain_scores_gemma":[0.9971277,0.001831418,0.0004516683,0.0001190171,0.0001886849,0.0002814836],"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":[0.0001399623,0.0001108294,0.00468078,0.000147459,0.00009838846,0.0004901006,0.0002177682,0.8518582,0.002307097,0.13203,0.001550717,0.006368614],"study_design_scores_gemma":[0.00003049769,0.00003433391,0.001118135,0.00001106864,0.00003124224,0.00007546213,0.00007295739,0.9486608,0.00009127835,0.04971545,0.0001422223,0.00001649506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7324036,0.0009632363,0.2477376,0.003294401,0.00009932645,0.0000737938,0.0002761672,0.0001131074,0.01503873],"genre_scores_gemma":[0.9825155,0.0004064625,0.006481445,0.0001421768,0.00005268985,0.0000471859,0.00006935918,0.00003623203,0.01024899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005406439,"threshold_uncertainty_score":0.01074994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686165624802199,"score_gpt":0.2461413950641531,"score_spread":0.2292797388161311,"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."}}