{"id":"W4384337907","doi":"10.1371/journal.pgph.0000402","title":"Diagnostic accuracy of three computer-aided detection systems for detecting pulmonary tuberculosis on chest radiography when used for screening: Analysis of an international, multicenter migrants screening study","year":2023,"lang":"en","type":"article","venue":"PLOS Global Public Health","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centers for Disease Control and Prevention; Lunit; Rijksdienst voor Ondernemend Nederland; McGill University","keywords":"Receiver operating characteristic; Medicine; Radiological weapon; Tuberculosis; Pulmonary tuberculosis; Radiography; CAD; Radiology; Internal medicine; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006395726,0.0007523771,0.0005352931,0.002196863,0.0002289299,0.001248003,0.0006072012,0.0009250031,0.0004929101],"category_scores_gemma":[0.01913256,0.0002839134,0.0008731235,0.00109173,0.000521604,0.0005372339,0.0007258705,0.0003645464,0.0002334319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003112401,"about_ca_system_score_gemma":0.0002060367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001443869,"about_ca_topic_score_gemma":0.00141446,"domain_scores_codex":[0.9956232,0.00239292,0.000498989,0.0007361564,0.0005799588,0.0001689485],"domain_scores_gemma":[0.9905021,0.004180841,0.00248457,0.0008963689,0.001621182,0.0003148908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001051625,0.00008426634,0.9902243,0.00005313821,0.0003085029,0.00007315227,0.0002362686,0.0003729398,0.0009878231,0.00002186878,0.00009076032,0.006495352],"study_design_scores_gemma":[0.00005335021,0.0009565426,0.9906542,0.00004261075,0.0004187221,0.0005635828,0.0004234442,0.005111495,0.001293842,0.00004288609,0.0004184299,0.0000208657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998731,0.0003535696,0.0004208813,0.00002002485,0.000008421725,0.00001997092,0.0001702783,0.0000100121,0.0002658359],"genre_scores_gemma":[0.9990013,0.00007838752,0.0005241415,0.00001680596,0.000009733187,0.00001259435,0.000306961,0.000003618893,0.00004648503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006395726,"threshold_uncertainty_score":0.03382427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1174359638783186,"score_gpt":0.3768281002600189,"score_spread":0.2593921363817003,"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."}}