{"id":"W2175855361","doi":"10.1378/chest.2268765","title":"Computer Aided Diagnosis of Tuberculosis Using Digital Chest Radiographs: A Systematic Review","year":2015,"lang":"en","type":"review","venue":"CHEST Journal","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Tuberculosis; Radiography; Pulmonary tuberculosis; Inclusion and exclusion criteria; Medical physics; Internal medicine; Radiology; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002171736,0.0009944434,0.009438752,0.001097168,0.0001262178,0.0002651607,0.0006755124,0.0004890098,0.00008391837],"category_scores_gemma":[0.002015247,0.000715891,0.003321273,0.0016442,0.000215103,0.0003395354,0.0002140209,0.001362129,0.00007309834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259212,"about_ca_system_score_gemma":0.001818612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000140222,"about_ca_topic_score_gemma":5.429221e-7,"domain_scores_codex":[0.9935047,0.0005114408,0.003453112,0.0006229454,0.001290506,0.0006173059],"domain_scores_gemma":[0.9928784,0.001247849,0.003012925,0.001167477,0.0008561494,0.0008371755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000004164007,0.0003598327,0.0001145763,0.9026709,0.001693524,0.0003232907,0.00006798085,0.000001587301,1.011839e-7,0.000001250606,0.01318651,0.08157627],"study_design_scores_gemma":[0.0003902067,0.0001498058,0.000005855254,0.6065744,0.02024794,0.005426997,0.000008418941,0.00002076011,6.968958e-7,0.000005347028,0.3667971,0.0003724796],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000171474,0.9952533,0.0002097655,0.000773643,0.000604625,0.002969287,0.00007313384,0.00006641119,0.0000327121],"genre_scores_gemma":[0.00001130151,0.994691,0.001989629,0.001777405,0.001041029,0.0001898826,0.00007688802,0.0002004103,0.00002243305],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3536105,"threshold_uncertainty_score":0.9995292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.105938044111592,"score_gpt":0.3788402602606685,"score_spread":0.2729022161490764,"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."}}