{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001354893,0.0005266311,0.0003478684,0.003316064,0.000606584,0.002443389,0.000456105,0.0003053096,0.005912891],"category_scores_gemma":[0.00728007,0.0002134902,0.0006689749,0.00488237,0.0007004531,0.002093677,0.001577139,0.0009658273,0.0003426609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003797483,"about_ca_system_score_gemma":0.002598821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0779282,"about_ca_topic_score_gemma":0.1155347,"domain_scores_codex":[0.9983994,0.0003734884,0.000161742,0.0001904882,0.0006996059,0.0001752686],"domain_scores_gemma":[0.9958617,0.001241139,0.001319735,0.0001537436,0.001203684,0.0002200504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006728091,0.0001852393,0.5337102,0.004684329,0.002216373,0.001181439,0.00318609,0.03153345,0.001902015,0.03803707,0.0718907,0.3108003],"study_design_scores_gemma":[0.00003241929,0.0000914535,0.7989051,0.001905725,0.0006834201,0.0007278956,0.005053486,0.007895236,0.0007882472,0.01315391,0.1706412,0.0001219935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7961364,0.03200682,0.006690312,0.008979793,0.0005293371,0.0002305428,0.05002187,0.0001954361,0.1052095],"genre_scores_gemma":[0.9445342,0.02322202,0.005286715,0.001028319,0.0002168178,0.0002344351,0.0201383,0.0001070167,0.005232023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0779282,"threshold_uncertainty_score":0.1549492,"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."}}