{"id":"W7139314407","doi":"","title":"Emerald Ash Borer","year":2020,"lang":"en","type":"article","venue":"VTechWorks (Virginia Tech)","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emerald ash borer; PEST analysis; Emerald; Damages; Wood ash; Introduced species","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009600331,0.0004953388,0.0002814995,0.0009958531,0.001187001,0.00161387,0.0008773303,0.0008582498,0.1726163],"category_scores_gemma":[0.001408174,0.000140982,0.0001811873,0.0003992597,0.000491122,0.0009272118,0.001354814,0.001339795,0.128566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005160118,"about_ca_system_score_gemma":0.0008064889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002495897,"about_ca_topic_score_gemma":0.005163208,"domain_scores_codex":[0.9994313,0.00005269244,0.00001515098,0.00009722821,0.0003297413,0.00007386412],"domain_scores_gemma":[0.999049,0.00007252268,0.0000578716,0.0001635509,0.0004136616,0.0002433622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008917772,0.00009768082,0.0009338105,0.00004634861,0.000006233697,0.0001355283,0.00004104349,0.00007645355,0.001347894,0.008337215,0.8689256,0.119963],"study_design_scores_gemma":[0.000009143162,0.00001983816,0.0007524773,0.00001502078,0.000001307434,0.0000889652,0.00001541572,0.00005138977,0.000324576,0.0004873689,0.9982311,0.000003428329],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003203848,0.001394026,0.001605148,0.004295487,0.001809262,0.00008210205,0.002196701,0.002355687,0.9830577],"genre_scores_gemma":[0.01894964,0.00125915,0.001965046,0.005076314,0.0006843978,0.00005561016,0.003365217,0.0002868361,0.9683577],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1726163,"threshold_uncertainty_score":0.577459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007906808021878013,"score_gpt":0.1996097326378752,"score_spread":0.1917029246159972,"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."}}