{"id":"W4297457472","doi":"10.1371/journal.pone.0274257","title":"Gene expression profiling identifies candidate biomarkers for new latent tuberculosis infections. A cohort study","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; University of Manitoba","funders":"Universidad Pontificia Bolivariana; Canada Research Chairs; Government of Canada; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Latent tuberculosis; KEGG; Medicine; Tuberculosis; Gene expression profiling; Cohort; Gene; Immunology; Gene expression; Fold change; Biology; Internal medicine; Mycobacterium tuberculosis; Transcriptome; Genetics; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005546063,0.0002909933,0.0003461952,0.0006505867,0.0005444748,0.0006212898,0.0002159398,0.0003502537,0.0008799578],"category_scores_gemma":[0.000845961,0.0002067905,0.0004095782,0.0006965094,0.0002041381,0.0002174998,0.0003023519,0.0004059592,0.0001836444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003147598,"about_ca_system_score_gemma":0.0002970755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004154865,"about_ca_topic_score_gemma":0.005816236,"domain_scores_codex":[0.9997128,0.00004626291,0.00001694488,0.0001263002,0.00004012479,0.00005758045],"domain_scores_gemma":[0.9995435,0.00005414687,0.0001593199,0.00007996674,0.0000678077,0.00009523057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005463276,0.00004534622,0.9950349,0.000021524,0.0000920176,0.0001109474,0.00009617113,0.00002631922,0.002099042,0.00001756109,0.0001418904,0.001767947],"study_design_scores_gemma":[0.00001237528,0.0001235445,0.9989673,0.000006241026,0.00005393013,0.0001804629,0.0001275073,0.0001039334,0.0001419867,0.00001500654,0.0002641752,0.000003586016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985221,0.0003242615,0.0001923114,0.00003067864,0.000007392636,0.00002075037,0.0007563679,0.000003343821,0.0001427919],"genre_scores_gemma":[0.9984681,0.0001858076,0.000242422,0.0000329061,0.000009436239,0.00003654256,0.0007190429,0.000004100587,0.0003016467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004154865,"threshold_uncertainty_score":0.008261383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06213115021134998,"score_gpt":0.3209684530865669,"score_spread":0.2588373028752169,"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."}}