{"id":"W2508469802","doi":"10.1089/vbz.2015.1909","title":"<i>Coxiella burnetii</i> (Q Fever) Seropositivity and Associated Risk Factors in Sheep and Goat Farm Workers in Ontario, Canada","year":2016,"lang":"en","type":"article","venue":"Vector-Borne and Zoonotic Diseases","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Health and Long Term Care; Public Health Ontario; University of Toronto; Ministry of Agriculture, Food and Rural Affairs; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; University of Guelph","keywords":"Coxiella burnetii; Q fever; Seroprevalence; Veterinary medicine; Odds ratio; Logistic regression; Medicine; Farm workers; Odds; Risk factor; Environmental health; Serology; Biology; Immunology; Internal medicine; Agriculture; Virology; Antibody","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001488928,0.0004295963,0.000591364,0.0001805274,0.0001843646,0.00005431567,0.0001208999,0.0002299168,0.0003262104],"category_scores_gemma":[0.0003816472,0.0003331132,0.00006483656,0.0002227886,0.0003581709,0.0001781318,0.0001480135,0.0003162166,0.000006863648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005185844,"about_ca_system_score_gemma":0.0006291801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9330596,"about_ca_topic_score_gemma":0.986899,"domain_scores_codex":[0.9977761,0.0003926394,0.0003884498,0.0007017384,0.00008456814,0.0006564982],"domain_scores_gemma":[0.9984959,0.0008492939,0.0001673432,0.0002526064,0.00004482678,0.0001900692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001719391,0.0002828326,0.9954063,0.00002122706,0.0001953407,0.00005859081,0.0001769149,0.000009256886,0.001244553,0.00009729238,0.0006650088,0.0016707],"study_design_scores_gemma":[0.002765334,0.0001508009,0.9944487,0.000181463,0.0001949014,0.00001149458,0.0003213179,0.000004325758,0.000537593,0.0001316558,0.0007888613,0.0004636167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994594,0.003766278,0.000003195537,0.0002698138,0.0003030633,0.0003570557,0.0004070018,0.00006541463,0.0002341583],"genre_scores_gemma":[0.9988302,0.0003585416,0.000002318979,0.0001529595,0.00001555143,0.00002670772,0.0000613269,0.00003130441,0.0005211013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05383942,"threshold_uncertainty_score":0.9999121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005900093515174034,"score_gpt":0.1899031964435001,"score_spread":0.1840031029283261,"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."}}