{"id":"W4200343330","doi":"10.1093/ilar/ilab029","title":"Livestock and Risk Group 4 Pathogens: Researching Zoonotic Threats to Public Health and Agriculture in Maximum Containment","year":2020,"lang":"en","type":"article","venue":"ILAR Journal","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Science Centre for Human and Animal Health; Canadian Food Inspection Agency","funders":"","keywords":"Agriculture; Biosafety; Livestock; Containment (computer programming); One Health; Biosecurity; Food security; Public health; Business; Spillover effect; Environmental planning; Risk analysis (engineering); Biotechnology; Biology; Ecology; Geography; Medicine; Computer science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009087065,0.000107436,0.0002036678,0.00001936929,0.0003230358,0.0001390704,0.0001252516,0.00004294422,0.00004444646],"category_scores_gemma":[0.0002433529,0.00004024596,0.00003962118,0.0001820771,0.00003365225,0.0001309937,0.0001633659,0.0003177531,0.000009525377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003286451,"about_ca_system_score_gemma":0.000008326861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001142096,"about_ca_topic_score_gemma":0.0003953042,"domain_scores_codex":[0.9985625,0.000441299,0.0002256187,0.0002471676,0.0001432,0.0003802381],"domain_scores_gemma":[0.999001,0.0001138781,0.00009192232,0.00002028992,0.00002023981,0.0007526409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001448269,0.00008285786,0.748996,0.00002781978,0.00003996742,0.00009050841,0.001455893,0.000007799313,0.004903276,0.0009021767,0.003708913,0.2396399],"study_design_scores_gemma":[0.0002340184,0.001237865,0.98054,0.00003366429,0.000006860377,0.00002329314,0.003039411,0.00012188,0.000001087589,0.002251651,0.01239024,0.0001199894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9502068,0.003107561,0.00007261068,0.04624465,0.00002103274,0.0002113946,0.00001637267,0.00001406794,0.0001055333],"genre_scores_gemma":[0.9909019,0.003940659,0.0002683302,0.004622568,0.000231029,0.000005696542,0.00001143496,9.149166e-7,0.00001747861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.23952,"threshold_uncertainty_score":0.2484563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08047064297486925,"score_gpt":0.2793911047110403,"score_spread":0.1989204617361711,"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."}}