{"id":"W2158515196","doi":"10.1016/j.reseneeco.2010.04.003","title":"Control and the management of a spreading invader","year":2010,"lang":"en","type":"article","venue":"Resource and Energy Economics","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; National Science Foundation","keywords":"Damages; Optimal control; Invasive species; Control (management); Outcome (game theory); Ecology; Range (aeronautics); Computer science; Mathematical optimization; Biology; Mathematics; Engineering; Mathematical economics; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008657958,0.0002870128,0.0001820995,0.0004908478,0.0003882856,0.001332269,0.0005148469,0.0008802673,0.002294355],"category_scores_gemma":[0.002155602,0.00009143504,0.0001657738,0.0002066019,0.001108346,0.0008617353,0.0007324559,0.0005451322,0.0001389742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006360348,"about_ca_system_score_gemma":0.0004698168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002591591,"about_ca_topic_score_gemma":0.004147724,"domain_scores_codex":[0.9997632,0.000097131,0.00001011796,0.00002768244,0.0000511459,0.0000507456],"domain_scores_gemma":[0.99913,0.0003792545,0.0002219808,0.00003904098,0.00008967474,0.0001400513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001429007,0.0008854998,0.04775853,0.000418545,0.0003034111,0.002043702,0.001769431,0.2166333,0.0834697,0.2410026,0.005165471,0.3991207],"study_design_scores_gemma":[0.0002495501,0.002033758,0.06050585,0.0001491685,0.0002788094,0.002374857,0.004290757,0.4235047,0.01080901,0.4566269,0.03906257,0.0001140483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9273459,0.002171674,0.01966716,0.004586008,0.0001207783,0.00004092037,0.00002026548,0.00004030464,0.04600685],"genre_scores_gemma":[0.9964109,0.0003615661,0.0007328804,0.0001144843,0.0000369821,0.000005062599,0.000003242008,0.000003139221,0.002331744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002591591,"threshold_uncertainty_score":0.007675409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002678885452413669,"score_gpt":0.1548743758759988,"score_spread":0.1521954904235851,"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."}}