{"id":"W3131669543","doi":"10.3201/eid2703.204090","title":"Systematic Review of Pooling Sputum as an Efficient Method for Xpert MTB/RIF Tuberculosis Testing during the COVID-19 Pandemic","year":2021,"lang":"en","type":"review","venue":"Emerging infectious diseases","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Instituto de Salud Carlos III; National Institute for Health Research Health Protection Research Unit; National Institute for Health and Care Research; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Global Affairs Canada; Department for International Development","keywords":"Sputum; Coronavirus disease 2019 (COVID-19); Pandemic; Medicine; Virology; Tuberculosis; 2019-20 coronavirus outbreak; GeneXpert MTB/RIF; Pooling; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Internal medicine; Computer science; Pathology; Artificial intelligence; Infectious disease (medical specialty)","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":[0.005913639,0.001548813,0.007731667,0.008949518,0.0005052571,0.002125908,0.001956753,0.001313407,0.005195699],"category_scores_gemma":[0.02804007,0.000867976,0.006471474,0.01034532,0.0006174272,0.001901415,0.001305255,0.0007884044,0.0004197181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002873218,"about_ca_system_score_gemma":0.008664334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006750384,"about_ca_topic_score_gemma":0.01786209,"domain_scores_codex":[0.9946337,0.001763188,0.00210943,0.0003831313,0.0009584706,0.0001519894],"domain_scores_gemma":[0.9821749,0.01228956,0.003316903,0.0002345844,0.001784255,0.0001998177],"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":[0.0001637351,0.00001045709,0.0003861952,0.9529366,0.006165314,0.0000786008,0.00008362209,0.00008495524,0.0001342469,0.0001274487,0.00163091,0.03819789],"study_design_scores_gemma":[0.0002693421,0.0002362936,0.003816213,0.870722,0.09716298,0.0005357048,0.0001644442,0.0001081116,0.0002954637,0.000284582,0.02636329,0.00004156381],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005288209,0.998625,0.0001013127,0.0001271889,0.00007472895,0.0001317117,0.0002126666,0.000006750177,0.0001918904],"genre_scores_gemma":[0.005867242,0.9929638,0.0003717023,0.0002437967,0.00004617815,0.0002236325,0.0001870957,0.000004723608,0.0000917591],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008949518,"threshold_uncertainty_score":0.03127474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07799101779276267,"score_gpt":0.4523027316861691,"score_spread":0.3743117138934064,"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."}}