{"id":"W4385454736","doi":"10.1089/hs.2022.0144","title":"Animal Agrocrime: An Overlooked Biological Threat","year":2023,"lang":"en","type":"article","venue":"Health Security","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Global Affairs Canada","keywords":"Emergency management; Officer; Preparedness; Resilience (materials science); Pandemic; Political science; Library science; Public relations; Coronavirus disease 2019 (COVID-19); Medical emergency; Medicine; Law; Infectious disease (medical specialty)","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":[],"consensus_categories":[],"category_scores_codex":[0.0006800658,0.0001458602,0.0002665959,0.00001562574,0.0003511395,0.00002354123,0.000230325,0.0001069392,0.0007606996],"category_scores_gemma":[0.00006555038,0.00005468665,0.00009341667,0.0003430773,0.00007378537,0.000109445,0.0001424921,0.0001338254,0.0005839589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002743059,"about_ca_system_score_gemma":0.000009180279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001085057,"about_ca_topic_score_gemma":0.0005313707,"domain_scores_codex":[0.9982678,0.0002904517,0.0002628816,0.0004270267,0.0001312412,0.000620593],"domain_scores_gemma":[0.9993586,0.0001476685,0.00008141775,0.00006893073,0.00002064339,0.0003227445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008772141,0.0008798143,0.5172956,0.0001480256,0.00005454802,0.00009845427,0.0008655213,0.000003917612,0.01394783,0.1152904,0.2368992,0.1136395],"study_design_scores_gemma":[0.00009512975,0.0009908109,0.9542745,0.000006298434,0.000002971683,0.000001472983,0.000394266,0.0004372465,0.000008933398,0.008319153,0.03532215,0.0001470687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898131,0.0002466542,7.964919e-7,0.007594291,0.0001000505,0.0002470538,0.00005536407,0.0005017981,0.001440884],"genre_scores_gemma":[0.9942967,0.0005294299,0.00001618507,0.004221865,0.0003752039,0.00002110557,0.0004460137,9.471939e-7,0.00009260973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4369789,"threshold_uncertainty_score":0.8329127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1021079832223343,"score_gpt":0.3345485973749674,"score_spread":0.2324406141526331,"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."}}