{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003398011,0.0001934415,0.0005976799,0.0001378081,0.00005964496,0.00001464003,0.00005730128,0.0001493851,0.00002081331],"category_scores_gemma":[0.001272376,0.0001779425,0.00004699055,0.00014565,0.00007336879,0.00010474,0.0001081996,0.000324831,0.00001481776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008394221,"about_ca_system_score_gemma":0.00003214069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000570947,"about_ca_topic_score_gemma":0.0001588744,"domain_scores_codex":[0.9983394,0.0000884308,0.0003205363,0.0005037776,0.0002064817,0.0005414257],"domain_scores_gemma":[0.9987172,0.0006124552,0.00007434572,0.0002466285,0.0001707652,0.0001786163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006446157,0.0004231731,0.688103,0.0002118405,0.0002175917,0.000005021516,0.0002355091,1.166552e-7,0.3079425,0.000005640803,0.00002479669,0.002186265],"study_design_scores_gemma":[0.003166448,0.001001026,0.7860593,0.0004014579,0.0001088671,0.000005941879,0.0001295722,0.002214636,0.2066009,0.0001090379,0.00002026674,0.0001825335],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965683,0.0005265432,0.000008528899,0.001586857,0.00002079848,0.001016134,0.00003733669,0.00003259115,0.0002029294],"genre_scores_gemma":[0.9971912,0.0004768175,0.001468544,0.0004814372,0.00009142757,0.00006960615,0.00007948276,0.00002968412,0.0001117966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1013415,"threshold_uncertainty_score":0.7256284,"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."}}