{"id":"W4220755059","doi":"10.1016/s2468-2667(22)00064-0","title":"Programmatic screening for latent tuberculosis in migrants","year":2022,"lang":"en","type":"letter","venue":"The Lancet Public Health","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; McGill University","funders":"","keywords":"Latent tuberculosis; Tuberculosis; Medicine; Environmental health; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007850546,0.0004355432,0.0007700403,0.001657794,0.0004511767,0.001164918,0.001412806,0.001073872,0.008756312],"category_scores_gemma":[0.02932153,0.0003153996,0.001990207,0.001075399,0.0004041805,0.001571891,0.002754683,0.001455261,0.0006245813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376354,"about_ca_system_score_gemma":0.008768464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01177767,"about_ca_topic_score_gemma":0.01418546,"domain_scores_codex":[0.9951093,0.003665682,0.0004362134,0.000191662,0.0002880358,0.0003091455],"domain_scores_gemma":[0.9919926,0.00440528,0.001817325,0.0002549955,0.00082293,0.0007068694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001329142,0.0006370898,0.03425189,0.1027359,0.00162905,0.0003793674,0.002899284,0.0004936685,0.0003818219,0.002500206,0.07631576,0.7764468],"study_design_scores_gemma":[0.006221164,0.004016423,0.1558342,0.5408174,0.007797043,0.001546549,0.008281002,0.001367867,0.0009819622,0.007475563,0.2655068,0.000154123],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.08993909,0.7380903,0.005588232,0.1120116,0.005984909,0.007884958,0.01193241,0.0006651839,0.02790315],"genre_scores_gemma":[0.5773214,0.3519941,0.01672829,0.02960131,0.002381634,0.01238145,0.005067339,0.0001087743,0.004415754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01177767,"threshold_uncertainty_score":0.04151815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2297096588713643,"score_gpt":0.4116087069011213,"score_spread":0.181899048029757,"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."}}