{"id":"W3199721601","doi":"10.1007/s10340-021-01431-x","title":"Preventing invasions of Asian longhorn beetle and citrus longhorn beetle: are we on the right track?","year":2021,"lang":"en","type":"article","venue":"Journal of Pest Science","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Animal and Plant Health Inspection Service; Università degli Studi di Padova; European Commission; H2020 Future and Emerging Technologies; National Socio-Environmental Synthesis Center; Canadian Food Inspection Agency; U.S. Department of Agriculture; National Science Foundation","keywords":"Longhorn beetle; Invasive species; Biology; Agroforestry; Environmental planning; Ecology; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00124518,0.0000963944,0.0001623388,0.00008101697,0.0004281609,0.00005227606,0.0004887806,0.00003994972,0.001346887],"category_scores_gemma":[0.0003240231,0.00006312759,0.00006817075,0.0006338189,0.0008947218,0.0003484585,0.0002808281,0.0002500974,0.00003429251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008283966,"about_ca_system_score_gemma":0.00007240355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001330349,"about_ca_topic_score_gemma":0.0003910082,"domain_scores_codex":[0.9986165,0.00007721435,0.0003202825,0.0002149591,0.0005230696,0.0002479409],"domain_scores_gemma":[0.9990944,0.000125615,0.0003925209,0.0002238696,0.00004236958,0.0001212712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002033624,0.003299111,0.4858169,0.0002629673,0.0002030967,0.002561141,0.009665824,0.01047048,0.3717995,0.02762346,0.03550867,0.05258542],"study_design_scores_gemma":[0.0002864563,0.0002858225,0.9699763,0.0001787872,0.00004329786,0.0003507879,0.0009153124,0.0002423912,0.01819262,0.004541085,0.004849511,0.000137641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856226,0.0001181926,0.0000819083,0.003228586,0.0003412448,0.00009119959,0.000002208745,0.000004080848,0.01050995],"genre_scores_gemma":[0.9980513,0.0001455183,0.0006937087,0.0002769326,0.00004204288,0.000001796323,1.328363e-7,0.000004566036,0.0007840182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4841594,"threshold_uncertainty_score":0.999566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01859969702388975,"score_gpt":0.2394139643795231,"score_spread":0.2208142673556334,"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."}}