{"id":"W3174780399","doi":"10.1017/s0950268821001412","title":"Seroprevalence and risk factors of antibodies against <i>Coxiella burnetii</i> among dog owners in southwestern Québec, Canada","year":2021,"lang":"en","type":"article","venue":"Epidemiology and Infection","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Université Laval; Cegep de Saint Hyacinthe; Public Health Agency of Canada; Université de Montréal","funders":"Public Health Agency of Canada; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Seroprevalence; Coxiella burnetii; Q fever; Odds ratio; Veterinary medicine; Population; Confidence interval; Antibody; Medicine; Zoonosis; Immunology; Serology; Biology; Virology; Internal medicine; Environmental health","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":[0.0003236799,0.0002865791,0.0002196068,0.0007200063,0.001232597,0.0007779588,0.0005256064,0.0003156673,0.001737255],"category_scores_gemma":[0.0006012176,0.0001968215,0.0002439249,0.001233263,0.0005503899,0.0002396946,0.0002500232,0.0003327901,0.0001757786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006891211,"about_ca_system_score_gemma":0.00371757,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9776444,"about_ca_topic_score_gemma":0.9815645,"domain_scores_codex":[0.9997044,0.00003571517,0.00001629316,0.00006156227,0.00007510625,0.0001068272],"domain_scores_gemma":[0.9992119,0.00005746062,0.0001919794,0.00002142002,0.0003010689,0.0002160672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002166006,0.00001806703,0.9981851,0.000006700611,0.00001737801,0.00004541119,0.0001696621,0.00003740003,0.0002933971,0.00001555234,0.000261655,0.0009279923],"study_design_scores_gemma":[0.000002071798,0.00001668932,0.999016,0.00000808179,0.00000777181,0.0000411228,0.0004104456,0.0001801042,0.0000341884,0.000003834863,0.0002772557,0.000002443243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979365,0.0002803595,0.00008555165,0.00008562658,0.000005258401,0.00001301879,0.0007121242,0.00000716268,0.0008744654],"genre_scores_gemma":[0.9991666,0.0001015401,0.00006336387,0.00003592018,0.000002236161,0.000004447807,0.000258918,0.000001474284,0.0003653717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02235556,"threshold_uncertainty_score":0.04999942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131343090145998,"score_gpt":0.244009614419154,"score_spread":0.2308753054045542,"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."}}