{"id":"W3134390147","doi":"10.1177/1178633721994607","title":"Obesity and Prevalence of Latent Tuberculosis: A Population-Based Survey","year":2021,"lang":"en","type":"article","venue":"Infectious Diseases Research and Treatment","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Public Health Agency of Canada","funders":"","keywords":"Medicine; Body mass index; National Health and Nutrition Examination Survey; Obesity; Latent tuberculosis; Logistic regression; Population; Cross-sectional study; Risk factor; Tuberculosis; Demography; Environmental health; Internal medicine; Mycobacterium tuberculosis; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004255208,0.0001377365,0.0003651568,0.0001868104,0.0001727152,0.00002611197,0.00003080853,0.00007243999,0.0001214938],"category_scores_gemma":[0.001378083,0.0001039379,0.00008232125,0.0003152761,0.0002143564,0.00004997535,0.00006684527,0.0001313453,0.000007952677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002008619,"about_ca_system_score_gemma":0.0003607999,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006703492,"about_ca_topic_score_gemma":0.001477721,"domain_scores_codex":[0.9978827,0.000715115,0.0002245042,0.0004068397,0.0003613195,0.000409471],"domain_scores_gemma":[0.9975379,0.001095597,0.00003277324,0.000307425,0.0004804803,0.0005458103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003220801,0.001812999,0.9910117,0.0004214325,0.000250743,0.0001150268,0.000019545,0.00001011293,0.0001314174,0.00008963686,0.0001080519,0.005707226],"study_design_scores_gemma":[0.001763819,0.001962667,0.9947317,0.0000965193,0.00009121114,0.00004272904,0.000009249346,0.0003560178,0.0004519414,0.0003703923,0.00004996475,0.00007375131],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919379,0.006487437,0.000005602885,0.0006521327,0.00001858371,0.0004708291,0.0002437421,0.00002808762,0.0001557185],"genre_scores_gemma":[0.9924091,0.006914916,0.00002908211,0.0000628695,0.00003241297,0.0001116346,0.0002053386,0.00001151146,0.0002231071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005633475,"threshold_uncertainty_score":0.999911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06073075991669874,"score_gpt":0.38022166647685,"score_spread":0.3194909065601513,"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."}}