{"id":"W4390704971","doi":"10.1148/ryai.230327","title":"AI for Detection of Tuberculosis: Implications for Global Health","year":2024,"lang":"en","type":"article","venue":"Radiology Artificial Intelligence","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Impact","funders":"Bundesministerium für Bildung und Forschung","keywords":"Tuberculosis; Medicine; CAD; Global health; Checklist; Triage; Medical physics; Public health; Pathology; Medical emergency; Engineering; Psychology","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":[0.01775665,0.0008956182,0.0006543211,0.004555205,0.001444489,0.006040916,0.002115347,0.005359164,0.01616506],"category_scores_gemma":[0.05578189,0.0003205445,0.0008921633,0.002031202,0.006712804,0.007796961,0.003777984,0.008044394,0.005381208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004229189,"about_ca_system_score_gemma":0.007674393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003453143,"about_ca_topic_score_gemma":0.004240548,"domain_scores_codex":[0.9920121,0.00405921,0.0007038836,0.0007540512,0.002144155,0.0003267048],"domain_scores_gemma":[0.948467,0.03479084,0.002468984,0.002075543,0.00981555,0.002382013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006033562,0.00006551931,0.00664443,0.002303856,0.00008876039,0.0003010723,0.0006629511,0.0008175045,0.0006926444,0.07579625,0.2311273,0.6814394],"study_design_scores_gemma":[0.00002729927,0.000149002,0.009377845,0.01419177,0.0001212767,0.001670633,0.002300097,0.001429529,0.0008031978,0.2238566,0.7459638,0.0001089814],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.001026137,0.1931881,0.009114606,0.7597054,0.009414852,0.00004231268,0.000225988,0.0002646263,0.02701796],"genre_scores_gemma":[0.08125499,0.6772016,0.03542234,0.1682395,0.02790497,0.000312811,0.0005163183,0.0002244078,0.008922933],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01775665,"threshold_uncertainty_score":0.09390724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07560498107747346,"score_gpt":0.4404564319504423,"score_spread":0.3648514508729689,"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."}}