{"id":"W1992422743","doi":"10.1371/journal.pone.0115230","title":"Public Transportation and Tuberculosis Transmission in a High Incidence Setting","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Naval Medical Research Center; National Institutes of Health; Victoria General Hospital Foundation","keywords":"Medicine; Tuberculosis; Transmission (telecommunications); Confidence interval; Incidence (geometry); Logistic regression; Demography; Environmental health; Public health; Contact tracing; Internal medicine; Disease; Infectious disease (medical specialty); Coronavirus disease 2019 (COVID-19); Pathology; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007328984,0.00009194931,0.0003049863,0.0001745816,0.000028902,0.00001042253,0.0000476465,0.0001045778,0.00004397473],"category_scores_gemma":[0.0008155747,0.0000782869,0.00002460159,0.0002401606,0.00005176439,0.0001721057,0.000007310874,0.0002525598,0.000016695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006368556,"about_ca_system_score_gemma":0.00009822252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004160687,"about_ca_topic_score_gemma":0.0002125949,"domain_scores_codex":[0.9987354,0.0001227327,0.0002661298,0.000237444,0.0003313264,0.000307022],"domain_scores_gemma":[0.9991927,0.000136709,0.0000317912,0.000126191,0.0001171749,0.0003954121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002691993,0.0008953299,0.9395177,0.0003135247,0.0001110373,0.00007223091,0.0009957794,0.000004004427,0.03877554,0.0002529553,0.0003220447,0.01847063],"study_design_scores_gemma":[0.002506088,0.0005559605,0.9832208,0.0005568463,0.0001195602,0.00001451114,0.0001636529,0.003637063,0.006890263,0.002023413,0.0001572415,0.0001546378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.968814,0.0008578409,0.00009219202,0.02958533,0.000006853027,0.0002791228,0.000004633308,0.00004079024,0.0003192246],"genre_scores_gemma":[0.9931861,0.0006401645,0.005260826,0.0007019224,0.00004225596,0.00004106953,0.00006144254,0.00001249803,0.00005369399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04370304,"threshold_uncertainty_score":0.3192447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1104223042039038,"score_gpt":0.3046037962112333,"score_spread":0.1941814920073295,"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."}}