{"id":"W1986633987","doi":"10.1007/s11071-015-1967-7","title":"Analysis of a competition fishery model with interval-valued parameters: extinction, coexistence, bionomic equilibria and optimal harvesting policy","year":2015,"lang":"en","type":"article","venue":"Nonlinear Dynamics","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Extinction (optical mineralogy); Competition (biology); Interval (graph theory); Monte Carlo method; Mathematics; Statistics; Applied mathematics; Mathematical optimization; Econometrics; Ecology; Biology; Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005136927,0.0001222651,0.0005674656,0.0001983495,0.00003297961,0.000007915251,0.000053296,0.000137894,0.00002107846],"category_scores_gemma":[0.0005757762,0.00008932219,0.00009023348,0.0002909439,0.0004738916,0.00009564243,0.00005290416,0.0001538408,0.000003480055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005718522,"about_ca_system_score_gemma":0.0001014646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000049606,"about_ca_topic_score_gemma":0.00003722378,"domain_scores_codex":[0.9990771,0.00006877398,0.0003710688,0.000218053,0.00008396281,0.000181037],"domain_scores_gemma":[0.9991797,0.0002049524,0.0001335293,0.000180581,0.0001260118,0.0001752246],"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":[0.003832589,0.001224085,0.05202683,0.0005502754,0.003600456,0.00003016301,0.001356248,0.2053463,0.0002061984,0.7286389,0.00003666628,0.003151228],"study_design_scores_gemma":[0.0006692515,0.0003887524,0.0008461474,0.00005945758,0.0007960384,0.00003419762,0.0001476332,0.990931,0.000007627403,0.006028511,0.000003944052,0.00008738054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7154538,0.000009078355,0.2816838,0.0007165388,0.00001388239,0.00009773976,0.00002001733,0.00002491091,0.001980278],"genre_scores_gemma":[0.8810641,0.000007706431,0.1180647,0.0004094618,0.00002957825,0.000006871614,0.0001432168,0.00001081262,0.0002635315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7855847,"threshold_uncertainty_score":0.3642453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05210724835654811,"score_gpt":0.3134639257066342,"score_spread":0.2613566773500861,"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."}}