{"id":"W4411202875","doi":"10.1371/journal.pdig.0000894","title":"Implementation costs and cost-effectiveness of ultraportable chest X-ray with artificial intelligence in active case finding for tuberculosis in Nigeria","year":2025,"lang":"en","type":"article","venue":"PLOS Digital Health","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Global Affairs Canada","keywords":"Tuberculosis; Artificial intelligence; Active tuberculosis; Computer science; Cost effectiveness; Medical physics; Medicine; Engineering; Operations management; Mycobacterium tuberculosis; 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":[0.003342022,0.0006436319,0.00059882,0.0009247278,0.0002568555,0.001414546,0.000624235,0.0007418119,0.001388012],"category_scores_gemma":[0.01288274,0.0006528146,0.001566061,0.001098751,0.0005786783,0.001557302,0.001213057,0.0008055058,0.00008789715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005862008,"about_ca_system_score_gemma":0.002479822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0230331,"about_ca_topic_score_gemma":0.01603417,"domain_scores_codex":[0.997025,0.001912736,0.0002485032,0.0002115183,0.0002776614,0.0003246011],"domain_scores_gemma":[0.9950657,0.003132715,0.001041079,0.0001306438,0.0003970653,0.0002327597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005966152,0.001159615,0.4088411,0.002377737,0.001410846,0.0008602946,0.0004142513,0.4042003,0.001404854,0.005615221,0.001355949,0.1663936],"study_design_scores_gemma":[0.001048621,0.008392691,0.4864791,0.003825111,0.004837513,0.001719958,0.00217723,0.4747317,0.004295861,0.007150935,0.0051241,0.0002173051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865729,0.003669119,0.004481221,0.000865775,0.0000380653,0.0003879241,0.0008475514,0.00002235973,0.003115067],"genre_scores_gemma":[0.996866,0.000803836,0.00188941,0.00004738331,0.000005267554,0.00007405521,0.0001814075,0.00000253117,0.000130159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0230331,"threshold_uncertainty_score":0.04579806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06016584520913972,"score_gpt":0.4075284589421901,"score_spread":0.3473626137330504,"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."}}