{"id":"W3184725177","doi":"10.3897/neobiota.67.58038","title":"Economic costs of biological invasions within North America","year":2021,"lang":"en","type":"article","venue":"NeoBiota","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Bundesministerium für Bildung und Forschung; AXA Research Fund; Agence Nationale de la Recherche; Auburn University; Biodiversa+; Alexander von Humboldt-Stiftung","keywords":"Economic impact analysis; Economic cost; Invasive species; Agriculture; Habitat; Geography; Business; Natural resource economics; Ecology; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004597914,0.00005719278,0.00009596936,0.00001017302,0.00005047123,0.000003980455,0.0001289105,0.00004142472,0.006572708],"category_scores_gemma":[0.00002498087,0.00004881247,0.00003390428,0.00008862693,0.0002089811,0.000032725,0.0002576644,0.00005924524,0.001426725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008339509,"about_ca_system_score_gemma":0.00001350146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002421722,"about_ca_topic_score_gemma":0.003757661,"domain_scores_codex":[0.9995024,0.00003623917,0.0001260456,0.0001790847,0.00003804034,0.0001181551],"domain_scores_gemma":[0.9996837,0.00003472338,0.00005291129,0.0001852732,0.000002155679,0.00004117858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004097705,0.0003954493,0.9100187,0.000007663375,0.00006188508,0.0001001059,0.000458897,0.009339504,0.02246394,0.006158773,0.03624739,0.01470671],"study_design_scores_gemma":[0.000236672,0.0001607805,0.9471707,0.000004772292,0.00001076518,0.00001279426,0.0001309105,0.0003128356,0.002886816,0.000445355,0.04848987,0.0001376723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782531,0.00001493549,0.00003785569,0.0001607022,0.000163428,0.00006739205,0.00001067794,0.00001390857,0.02127798],"genre_scores_gemma":[0.997888,0.00004938954,0.0008493856,0.0006162288,0.00001066273,0.000006140219,0.00002010922,0.000003059554,0.0005570753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03715206,"threshold_uncertainty_score":0.9993508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02192392712158815,"score_gpt":0.2161549859419489,"score_spread":0.1942310588203607,"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."}}