{"id":"W3109355072","doi":"10.1016/j.onehlt.2020.100199","title":"Zoonoses and social determinants of health: A consultation of Canadian experts","year":2020,"lang":"en","type":"article","venue":"One Health","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Montréal","funders":"Public Health Agency of Canada","keywords":"Zoonosis; One Health; Public health; Delphi method; Prioritization; Environmental health; Medicine; Veterinary medicine; Pathology; Management science; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.04838472,0.0007035838,0.001061931,0.003895637,0.01962584,0.006696037,0.002385464,0.003327888,0.002781946],"category_scores_gemma":[0.04982364,0.0006603037,0.0006651541,0.006404325,0.006665786,0.002111966,0.007296513,0.0038087,0.0001530823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1114911,"about_ca_system_score_gemma":0.3187626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9505038,"about_ca_topic_score_gemma":0.9713846,"domain_scores_codex":[0.9511458,0.02364693,0.002219237,0.001901275,0.01115413,0.009932554],"domain_scores_gemma":[0.9354162,0.02992051,0.002239944,0.0006722722,0.02064083,0.01111039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002465292,0.0001227792,0.0598567,0.004132787,0.0001487748,0.003959649,0.7817872,0.0006007704,0.001839753,0.01191926,0.05386756,0.08151826],"study_design_scores_gemma":[0.00004111397,0.00007661874,0.03790599,0.003177698,0.00008047837,0.0004632717,0.8396311,0.0004157052,0.0003434587,0.00168961,0.1160097,0.0001653042],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4948304,0.03399243,0.002454342,0.3880627,0.001867036,0.00166445,0.001319067,0.00005135596,0.07575813],"genre_scores_gemma":[0.9626123,0.01294196,0.002929835,0.01666977,0.0001451807,0.0003316125,0.0001889463,0.00001854718,0.004161917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1114911,"threshold_uncertainty_score":0.8089281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1280130286993285,"score_gpt":0.3578294959992361,"score_spread":0.2298164672999076,"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."}}