{"id":"W3134130269","doi":"10.1111/epp.12734","title":"How does the Emerald Ash Borer (<i>Agrilus planipennis</i>) affect ecosystem services and biodiversity components in invaded areas?","year":2021,"lang":"en","type":"article","venue":"EPPO Bulletin","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"Russian Science Foundation","keywords":"Emerald ash borer; Agrilus; Biodiversity; Fraxinus; Ecosystem services; Geography; Ecosystem; Invasive species; Context (archaeology); Introduced species; Ecology; Agroforestry; Environmental resource management; Biology; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006876994,0.0002312192,0.0001700709,0.0004113071,0.0002050659,0.0008773855,0.0001559438,0.0002751999,0.0005605013],"category_scores_gemma":[0.001546344,0.00007567572,0.0002348656,0.0003445622,0.0003972885,0.0007552725,0.0002761639,0.0001864455,0.00008783858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005903952,"about_ca_system_score_gemma":0.000187338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007117044,"about_ca_topic_score_gemma":0.01571924,"domain_scores_codex":[0.999788,0.00008671938,0.000009920372,0.00003814592,0.00003487415,0.00004233146],"domain_scores_gemma":[0.999055,0.0004231384,0.0003756034,0.00002503062,0.00006794612,0.00005316972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001481032,0.00008920593,0.9470637,0.00006726774,0.0002479727,0.0003686255,0.0003416834,0.01919912,0.007454973,0.0007509274,0.0002326473,0.02403581],"study_design_scores_gemma":[0.000002481059,0.0001887978,0.9867865,0.00001074792,0.0000629572,0.0002008564,0.0009214141,0.008658824,0.001431453,0.000960878,0.000760893,0.00001422292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973436,0.0001518259,0.0005967881,0.00008655315,0.000002191377,0.000004914811,0.0001094611,0.000005294232,0.001699444],"genre_scores_gemma":[0.9993957,0.0001631917,0.0002347839,0.00001287264,0.000002418001,0.000001706263,0.00004386741,0.000001414237,0.0001440489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007117044,"threshold_uncertainty_score":0.01415122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00901635861152411,"score_gpt":0.1723543962727575,"score_spread":0.1633380376612334,"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."}}