{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024816,0.001800466,0.00110137,0.01443159,0.002373841,0.005948116,0.003128368,0.001748512,0.00655137],"category_scores_gemma":[0.0659451,0.0004311132,0.001171765,0.01311947,0.003252832,0.006897159,0.005057243,0.004633669,0.001602578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007695993,"about_ca_system_score_gemma":0.01456694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06053518,"about_ca_topic_score_gemma":0.07419718,"domain_scores_codex":[0.9798851,0.007063081,0.002922637,0.0008759277,0.008390477,0.0008628174],"domain_scores_gemma":[0.9554183,0.01356619,0.007581282,0.003475001,0.01821358,0.001745593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001693217,0.0001454755,0.0397017,0.001953464,0.0002030412,0.0006015917,0.002382352,0.01802107,0.001303906,0.133486,0.3460881,0.4559442],"study_design_scores_gemma":[0.00006168673,0.0001168547,0.03250295,0.006345304,0.0001584175,0.0003443022,0.003796186,0.02665884,0.001806238,0.1496534,0.7782423,0.0003135374],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04163535,0.0170189,0.2954633,0.05916207,0.009425445,0.00573883,0.03691185,0.002204905,0.5324395],"genre_scores_gemma":[0.261791,0.01999557,0.6420122,0.01159708,0.001451441,0.006029174,0.03875066,0.0008021949,0.01757066],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06053518,"threshold_uncertainty_score":0.1312411,"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."}}