{"id":"W4280578064","doi":"10.1016/j.onehlt.2022.100400","title":"COVID-19 and zoonoses in Brazil: Environmental scan of one health preparedness and response","year":2022,"lang":"en","type":"article","venue":"One Health","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Pan American Health Organization; Ministério da Agricultura, Pecuária e Abastecimento; Ministério do Meio Ambiente; Fundação Oswaldo Cruz; Ministério da Saúde; Canadian Institutes of Health Research; Ministry of Environment; ICAR - National Agricultural Science Fund; World Health Organization","keywords":"Preparedness; One Health; Equity (law); Geography; Pandemic; Environmental planning; Public health; Biodiversity; Environmental resource management; Environmental health; Business; Environmental protection; Political science; Economic growth; Coronavirus disease 2019 (COVID-19); Medicine; Ecology; Biology; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01314998,0.0002805959,0.0005332057,0.004861264,0.001486127,0.002602701,0.0006414864,0.0007732781,0.004969132],"category_scores_gemma":[0.06343366,0.0003617518,0.0005659682,0.006821654,0.001730701,0.00281854,0.003128848,0.0007301292,0.0002272595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005449024,"about_ca_system_score_gemma":0.01695271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03357378,"about_ca_topic_score_gemma":0.03619641,"domain_scores_codex":[0.9885006,0.00666838,0.001516817,0.000652317,0.001933543,0.0007283703],"domain_scores_gemma":[0.9373199,0.04044503,0.008204371,0.002817696,0.009921094,0.001291826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006188468,0.0002968217,0.4055079,0.02320531,0.0003141991,0.002856935,0.1222963,0.001505413,0.001991565,0.06234033,0.02823583,0.3508306],"study_design_scores_gemma":[0.0001084281,0.0006032942,0.4673755,0.02292928,0.0004828178,0.002199571,0.1183013,0.001211542,0.002095975,0.0122175,0.3723372,0.0001375145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.648622,0.05374629,0.009429418,0.08327954,0.0006322071,0.003920166,0.0343502,0.0001745833,0.1658457],"genre_scores_gemma":[0.9686619,0.01434523,0.006221984,0.003329308,0.0001230196,0.001811619,0.003083074,0.00006063696,0.002363293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03357378,"threshold_uncertainty_score":0.06954455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03760253293978428,"score_gpt":0.3528912826706054,"score_spread":0.3152887497308212,"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."}}