{"id":"W4389336982","doi":"10.1111/cobi.14214","title":"Using the IUCN Environmental Impact Classification for Alien Taxa to inform decision‐making","year":2023,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Forestry, Fisheries and the Environment; Università degli Studi di Sassari; Universiteit Stellenbosch; Bundesministerium für Klimaschutz, Umwelt, Energie, Mobilität, Innovation und Technologie; Università degli Studi di Firenze; Natural Environment Research Council; Akademie Věd České Republiky; Grantová Agentura České Republiky; Javna Agencija za Raziskovalno Dejavnost RS; Ministerio de Ciencia e Innovación; Bundesministerium für Bildung und Forschung; Biodiversa+; European Commission; Sight Research UK; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"IUCN Red List; Biodiversity; Precautionary principle; Harm; Environmental resource management; Geography; Environmental planning; Alien species; Taxon; Vetting; Ecology; Introduced species; Political science; Biology; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002920464,0.00008786908,0.00008056141,0.00003852855,0.0003213072,0.00002852542,0.000179806,0.00007098182,0.006569475],"category_scores_gemma":[0.0001640707,0.00006246487,0.00005609415,0.0003689258,0.000157417,0.00009725357,0.0001303328,0.0000397136,0.001051354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004579088,"about_ca_system_score_gemma":0.000009343511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005072526,"about_ca_topic_score_gemma":0.000084812,"domain_scores_codex":[0.9992765,0.00002536189,0.0001893617,0.0001865449,0.00009497477,0.000227234],"domain_scores_gemma":[0.9994568,0.0002074775,0.00009255669,0.0001892055,0.000007782588,0.00004623796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001446348,0.00004608779,0.6986307,0.000003995674,0.00002324328,5.671501e-7,0.0008333891,0.000625719,0.1715904,0.007362139,0.08390571,0.03683339],"study_design_scores_gemma":[0.0001892312,0.00005716701,0.8077121,0.000003587295,0.000006289775,0.000003319547,0.0009751714,0.01098123,0.000289838,0.0006364073,0.1790401,0.0001055685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832268,0.0000065883,0.01253851,0.002765694,0.0001708709,0.0004112317,0.0002130023,0.00004922681,0.000618072],"genre_scores_gemma":[0.9969661,0.00001148946,0.0004169254,0.002054975,0.00002710853,0.00007802226,0.0003401177,0.000007328866,0.00009792482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1713006,"threshold_uncertainty_score":0.9997264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1616299976067498,"score_gpt":0.3889872005432675,"score_spread":0.2273572029365176,"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."}}