{"id":"W3184797773","doi":"10.1093/cid/ciab639","title":"Chest X-ray Analysis With Deep Learning-Based Software as a Triage Test for Pulmonary Tuberculosis: An Individual Patient Data Meta-Analysis of Diagnostic Accuracy","year":2021,"lang":"en","type":"review","venue":"Clinical Infectious Diseases","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; McGill University Health Centre","funders":"Canadian Institutes of Health Research; Lunit; National Institute on Drug Abuse; McGill University; World Health Organization","keywords":"Medicine; Tuberculosis; Meta-analysis; Confidence interval; Internal medicine; Triage; Receiver operating characteristic; Human immunodeficiency virus (HIV); Pathology; Immunology; Emergency medicine","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":["metaresearch","metaepi_narrow","metaepi_broad","insufficient_payload"],"consensus_categories":["metaepi_broad"],"category_scores_codex":[0.001895825,0.001266368,0.01467467,0.002065968,0.0002869845,0.0002356516,0.001025763,0.0007544503,0.00113321],"category_scores_gemma":[0.2066073,0.0009213008,0.01302354,0.007375185,0.0005098454,0.0002942394,0.0005963371,0.001157711,0.0000192238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001921916,"about_ca_system_score_gemma":0.00297583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002756595,"about_ca_topic_score_gemma":0.0004766895,"domain_scores_codex":[0.9888553,0.002488531,0.003766509,0.00295145,0.001259068,0.0006791591],"domain_scores_gemma":[0.8361748,0.1533383,0.003326441,0.004815813,0.001143718,0.00120091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.00008410869,0.01558535,0.08455177,0.009329621,0.5753831,0.0004246782,0.0000264151,0.005980299,1.061369e-8,9.8414e-7,0.0005556454,0.3080781],"study_design_scores_gemma":[0.0009869629,0.002648582,0.01222587,0.001611755,0.8137738,0.000006641753,0.00003306318,0.001731737,1.426575e-7,0.000003380649,0.1662216,0.0007564666],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000495436,0.9833158,0.001677923,0.0003517721,0.0001260166,0.003573645,0.01010689,0.0003485384,0.000003978342],"genre_scores_gemma":[0.01601282,0.8944944,0.0004533647,0.003652205,0.0003643267,0.0031187,0.08161404,0.0002690679,0.00002106641],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3073216,"threshold_uncertainty_score":0.9999535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2159280593069415,"score_gpt":0.4670708286540841,"score_spread":0.2511427693471426,"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."}}