{"id":"W3196500063","doi":"10.3138/jvme-2021-0066","title":"Assessing Veterinary Practice and Practitioner Preparedness for Natural and Man-Made Disasters, Including COVID-19","year":2021,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preparedness; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Natural disaster; Pandemic; Veterinary medicine; Medicine; Virology; Outbreak; Geography; Political science; Infectious disease (medical specialty); Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00463432,0.0001332264,0.0001873692,0.001518119,0.0009415959,0.0009751195,0.0006031391,0.0007269706,0.002724533],"category_scores_gemma":[0.0215039,0.0002733993,0.0002988116,0.0007777365,0.0006632279,0.00108372,0.001340559,0.0006668729,0.000332682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002109951,"about_ca_system_score_gemma":0.004274671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02761492,"about_ca_topic_score_gemma":0.05859658,"domain_scores_codex":[0.9968383,0.001086325,0.0003886452,0.0002156925,0.001033606,0.000437368],"domain_scores_gemma":[0.9839559,0.00390558,0.005126461,0.0003277279,0.003879021,0.002805285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003141613,0.0001415259,0.9603229,0.0001758405,0.000026185,0.0002506807,0.01592279,0.0001880915,0.0004294634,0.0001205781,0.001206001,0.02118443],"study_design_scores_gemma":[0.000007492248,0.0003188359,0.9226867,0.0003041358,0.00001324288,0.0007007453,0.06805576,0.0007827241,0.0001429839,0.0001102867,0.006855739,0.00002144176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946172,0.0004254362,0.0004467203,0.0009181635,0.00002252606,0.00008930044,0.0001279073,0.00001263959,0.003340179],"genre_scores_gemma":[0.997597,0.0005705985,0.0009976815,0.0001649028,0.000008980804,0.00004386909,0.0001227729,0.000002276362,0.0004916984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02761492,"threshold_uncertainty_score":0.05490839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1372666002760016,"score_gpt":0.4994105603584827,"score_spread":0.3621439600824811,"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."}}