{"id":"W4410573777","doi":"10.1038/s41597-025-05184-5","title":"Global Impacts Dataset of Invasive Alien Species (GIDIAS)","year":2025,"lang":"en","type":"article","venue":"Scientific Data","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Alien; Biodiversity; Invasive species; Alien species; Taxon; Ecology; Ecosystem; Ecosystem services; Introduced species; Geography; Livelihood; Global change; Environmental resource management; Invertebrate; Biology; Climate change; Environmental science; Agriculture; Political science","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":[0.001167496,0.0009982726,0.0007661296,0.005422459,0.0004646921,0.001174943,0.001223127,0.001258961,0.008191396],"category_scores_gemma":[0.004694492,0.0003111876,0.001024303,0.009069331,0.0003341397,0.000757733,0.001670268,0.001060623,0.005231144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042363,"about_ca_system_score_gemma":0.001854709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02564582,"about_ca_topic_score_gemma":0.03177604,"domain_scores_codex":[0.9987997,0.0001737174,0.0002395381,0.0002280652,0.0004400329,0.000118847],"domain_scores_gemma":[0.9971417,0.0008647261,0.0006491609,0.0003607896,0.000773166,0.0002105873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002874025,0.0001114824,0.04928153,0.006167013,0.0004516106,0.0004412492,0.0004134477,0.00651157,0.002265554,0.005359089,0.903441,0.02526898],"study_design_scores_gemma":[0.0001149726,0.0000443995,0.06337613,0.0007410825,0.0001128403,0.0002034374,0.0003425166,0.001443981,0.0009693743,0.001583772,0.9310092,0.00005824006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001637478,0.0002429732,0.0002062569,0.00009869978,0.00001990244,0.0000222053,0.9958269,0.0001165915,0.001829123],"genre_scores_gemma":[0.003706064,0.0002254543,0.0006890149,0.00004993731,0.0000101234,0.00008351194,0.9948389,0.00002569472,0.0003712323],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02564582,"threshold_uncertainty_score":0.05099308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06371622324894954,"score_gpt":0.313654097728842,"score_spread":0.2499378744798925,"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."}}