{"id":"W4365145681","doi":"10.1111/wre.12582","title":"Prioritising environmental invasive weeds of European concern for classical biological control: A reanalysis","year":2023,"lang":"en","type":"article","venue":"Weed Research","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Centre for International Agricultural Research; Agriculture and Agri-Food Canada; Center for Advanced Brain Imaging; Foreign, Commonwealth and Development Office; Ministry of Agriculture of the People's Republic of China","keywords":"Invasive species; Biodiversity; Threatened species; Ecosystem services; Introduced species; Biological pest control; Agriculture; Environmental resource management; Ecology; Environmental planning; Habitat; Business; Ecosystem; Biology; Geography; Environmental science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002549628,0.0001691047,0.0004307277,0.0000673608,0.0003886024,0.00006667453,0.0006096103,0.0001764041,0.0003969987],"category_scores_gemma":[0.001923659,0.00006334871,0.0003211919,0.0007368854,0.001008451,0.00006376554,0.0003027598,0.000350431,0.0002329641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006324374,"about_ca_system_score_gemma":0.00001656322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001111641,"about_ca_topic_score_gemma":0.0001277133,"domain_scores_codex":[0.9967837,0.000991759,0.0004172726,0.0005173643,0.0005638786,0.0007260358],"domain_scores_gemma":[0.9948658,0.004564549,0.000112855,0.0001149231,0.0001591413,0.0001827818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001921881,0.00007770323,0.005459339,0.000006532277,0.00006182092,0.00002278455,0.00002973367,0.000002570445,0.9543523,0.000939075,0.001301456,0.03755449],"study_design_scores_gemma":[0.001405337,0.003578372,0.9259797,0.00005128908,0.00003322124,0.00000619792,0.002165619,0.0002512155,0.01426899,0.002370236,0.04952637,0.0003634494],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909163,0.0002470292,0.00001427576,0.004831013,0.00005323545,0.0007561283,0.0003672266,0.0001017948,0.002712975],"genre_scores_gemma":[0.9982042,0.0001414965,0.0000635946,0.0001303542,0.0004987203,0.00007870139,0.0001925294,0.00000272768,0.0006876253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9400833,"threshold_uncertainty_score":0.4346857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1967620390731652,"score_gpt":0.3308268034606177,"score_spread":0.1340647643874525,"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."}}