{"id":"W2936150432","doi":"10.1371/journal.pone.0215443","title":"Sensitive electrochemiluminescence (ECL) immunoassays for detecting lipoarabinomannan (LAM) and ESAT-6 in urine and serum from tuberculosis patients","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Glycomics Centre; University of Alberta","funders":"Global Health Innovative Technology Fund; Ministerie van Buitenlandse Zaken; Department for International Development; Department for International Development, UK Government; National Institute of Allergy and Infectious Diseases; Bill and Melinda Gates Foundation","keywords":"Lipoarabinomannan; Urine; Medicine; Tuberculosis; ESAT-6; Antigen; Electrochemiluminescence; Immunology; Point-of-care testing; Prostate-specific antigen; Internal medicine; Virology; Detection limit; Chromatography; Mycobacterium tuberculosis; Chemistry; Pathology; Prostate","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":[0.001916795,0.0005973274,0.000338573,0.0009321976,0.0001962195,0.0004771338,0.0005744663,0.0009054095,0.0005250075],"category_scores_gemma":[0.002465211,0.0003034365,0.0003842364,0.0004669097,0.0003830938,0.0003934105,0.0003747747,0.0006341907,0.0002810993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003732745,"about_ca_system_score_gemma":0.0002692906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003643236,"about_ca_topic_score_gemma":0.0005973296,"domain_scores_codex":[0.9977152,0.0008554659,0.0002215783,0.0003595028,0.0007111008,0.000137066],"domain_scores_gemma":[0.998953,0.0003353553,0.0002883823,0.00006446759,0.0003029278,0.00005578907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007416662,0.0006275325,0.1010144,0.0003572185,0.0001712652,0.0003362824,0.0002529698,0.0009839949,0.8640362,0.0003060803,0.0006132337,0.03055902],"study_design_scores_gemma":[0.0001826537,0.004099714,0.1379115,0.0001073317,0.0002224165,0.00590944,0.0002899869,0.01414856,0.8326156,0.0004358476,0.003992665,0.00008427563],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9279004,0.003183729,0.06516927,0.000336934,0.00009951641,0.0003417098,0.0006935545,0.0004423451,0.001832596],"genre_scores_gemma":[0.9367602,0.000756732,0.06001805,0.0004094211,0.00003978467,0.0002373738,0.0007325039,0.00001481703,0.00103119],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001916795,"threshold_uncertainty_score":0.01013708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02139709704116287,"score_gpt":0.2483701934262662,"score_spread":0.2269730963851033,"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."}}