{"id":"W4360813076","doi":"10.3201/eid2904.220778","title":"Global Veterinary Diagnostic Laboratory Equipment Management and Sustainability and Implications for Pandemic Preparedness Priorities1","year":2023,"lang":"en","type":"article","venue":"Emerging infectious diseases","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Global Affairs Canada; Wellcome Trust","keywords":"Preparedness; Sustainability; Mandate; Pandemic; Business; Personal protective equipment; Coronavirus disease 2019 (COVID-19); Veterinary medicine; Medicine; Political science; Management; Economics; Pathology","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":[0.0001699345,0.0001342246,0.0001499582,0.00001959822,0.0003886271,0.00004812604,0.00008068761,0.00003637986,0.00001760264],"category_scores_gemma":[0.0003154166,0.00007347501,0.00005179322,0.0003089846,0.0001026116,0.00009979366,0.0002464705,0.00002261992,0.000002850161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009008601,"about_ca_system_score_gemma":0.00001047048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007798733,"about_ca_topic_score_gemma":0.00005424468,"domain_scores_codex":[0.9990188,0.00007245766,0.0001652845,0.0003758477,0.00005766262,0.0003099565],"domain_scores_gemma":[0.9992256,0.0004611793,0.00005023484,0.00006409703,0.00006087511,0.0001379968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003163564,0.00006328001,0.9721073,0.0002157701,0.00004113796,0.000003912396,0.0000326402,0.00003261335,0.00002786315,0.003563352,0.00314759,0.02073289],"study_design_scores_gemma":[0.0001732931,0.0001989049,0.965405,0.00001390461,0.00007935725,0.000001460208,0.0005631184,0.0001367699,9.900297e-8,0.01861438,0.01466685,0.0001469006],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962552,0.001084505,0.00005042284,0.0009137901,0.00009279254,0.0007052967,0.000340865,0.0003896059,0.0001675394],"genre_scores_gemma":[0.9979777,0.0009317946,0.00000714177,0.0001963123,0.00009042897,0.0005812842,0.000141824,0.000001522199,0.00007197266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02058599,"threshold_uncertainty_score":0.2996224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0234760466162879,"score_gpt":0.3030389222664611,"score_spread":0.2795628756501732,"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."}}