{"id":"W3137697531","doi":"10.1016/s2666-5247(21)00057-4","title":"Learning from COVID-19 to reimagine tuberculosis diagnosis","year":2021,"lang":"en","type":"article","venue":"The Lancet Microbe","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Syndemic; Tuberculosis; Pandemic; Medicine; Leverage (statistics); Coronavirus disease 2019 (COVID-19); Environmental health; Public health; Infectious disease (medical specialty); Nursing; Computer science","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":[0.02801213,0.0014937,0.0009015898,0.002002729,0.003466664,0.01276874,0.004110119,0.01120637,0.04067545],"category_scores_gemma":[0.1280145,0.0008685191,0.001446219,0.001239004,0.00699503,0.02009435,0.01136605,0.03198557,0.02575787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005707152,"about_ca_system_score_gemma":0.01829155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004740376,"about_ca_topic_score_gemma":0.008992425,"domain_scores_codex":[0.9809393,0.009156254,0.0009985022,0.001564659,0.004485656,0.002855541],"domain_scores_gemma":[0.9002618,0.03492029,0.00460535,0.006847086,0.01423414,0.03913137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001332583,0.0001454072,0.001065142,0.0004100567,0.00003381642,0.000329798,0.0009416406,0.0001892203,0.000193863,0.01553062,0.8260059,0.1550212],"study_design_scores_gemma":[0.00008058331,0.0001628935,0.0005516736,0.001445283,0.00002893558,0.0003782013,0.0009691383,0.0002416196,0.0004749909,0.02706159,0.9685468,0.00005837027],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0010966,0.01733323,0.004200021,0.929258,0.02657251,0.00005669117,0.0003455003,0.0008147768,0.02032273],"genre_scores_gemma":[0.04497918,0.04678819,0.01846145,0.7779317,0.07643361,0.0002827185,0.001111318,0.001515212,0.03249663],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04067545,"threshold_uncertainty_score":0.1481441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05330673296378879,"score_gpt":0.3381015753043581,"score_spread":0.2847948423405693,"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."}}