{"id":"W7042431570","doi":"","title":"Emerald Ash Borer","year":2020,"lang":"en","type":"other","venue":"VTechWorks (Virginia Tech)","topic":"","field":"","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.0003647764,0.00162655,0.00158453,0.00131317,0.000140453,0.0002205898,0.002209007,0.0025669,0.05794806],"category_scores_gemma":[0.0002295015,0.001653941,0.0005990959,0.002386679,0.0003868113,0.0001273846,0.0007885494,0.002816657,0.122283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002569984,"about_ca_system_score_gemma":0.0002001697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000595177,"about_ca_topic_score_gemma":0.000291497,"domain_scores_codex":[0.99431,0.0001768597,0.0008297464,0.001963531,0.001304929,0.001414949],"domain_scores_gemma":[0.9957681,0.00007691595,0.0008898272,0.002610705,0.00006362022,0.0005908457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004662696,0.0001152674,0.00005242547,0.0001255529,0.0003648568,0.0002472077,0.00005725495,0.000003447195,0.000937297,0.001690904,0.9890004,0.007358795],"study_design_scores_gemma":[0.0008702783,0.00009961465,0.00007082385,0.0007847481,0.0002544563,0.00003027086,0.00001792007,0.00006277052,0.0003615222,0.000552496,0.9949898,0.001905339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000007914903,0.00355059,0.0009412993,0.002473915,0.001165585,0.001640986,0.001486008,0.01451101,0.9742227],"genre_scores_gemma":[0.0007883656,0.0004769619,0.0112659,0.002984669,0.003286196,0.0003074102,0.0008760895,0.01274287,0.9672716],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06433494,"threshold_uncertainty_score":0.9996482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009747401935956215,"score_gpt":0.2391603513715563,"score_spread":0.2294129494356001,"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."}}