{"id":"W4388273208","doi":"10.1007/s10530-023-03184-3","title":"Discrepancies between non-native and invasive species classifications","year":2023,"lang":"en","type":"article","venue":"Biological Invasions","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Invasive species; European union; Biology; Biodiversity; Introduced species; Unintended consequences; Tourism; Ecology; Member states; International trade; Geography; Political science; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001731895,0.0001003811,0.0001250424,0.00004262573,0.0003697076,0.00001637695,0.000172665,0.00009390702,0.001108721],"category_scores_gemma":[0.0003347713,0.00006828723,0.0000384009,0.0003935891,0.0007509678,0.00007948254,0.0005618487,0.0001024128,0.001570498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003916589,"about_ca_system_score_gemma":0.000006467661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005833889,"about_ca_topic_score_gemma":0.0003180805,"domain_scores_codex":[0.9992014,0.00005578545,0.0001381089,0.0002858097,0.00008132906,0.0002376067],"domain_scores_gemma":[0.9992444,0.0004607317,0.0000425937,0.0001563394,0.000005163279,0.00009077808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006938803,0.00007778244,0.9112503,0.000005190368,0.00003729073,0.00001758183,0.0006538426,0.00005599306,0.01611386,0.0293169,0.04133547,0.001128848],"study_design_scores_gemma":[0.00008057286,0.00009447832,0.967001,0.000004089018,0.000008387836,9.83239e-7,0.0005532596,0.00003266631,0.000305429,0.008262571,0.02355657,0.0001000047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763264,0.000008285786,0.0001682699,0.00206707,0.00006783769,0.0002506225,0.00003517245,0.0001220028,0.02095435],"genre_scores_gemma":[0.9955006,0.0002838003,0.0003011715,0.0002646834,0.00003542503,0.00008948985,0.00006567421,0.000004084706,0.003455043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05575069,"threshold_uncertainty_score":0.9998044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2115828579568471,"score_gpt":0.2730032037849687,"score_spread":0.06142034582812156,"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."}}