{"id":"W2797119965","doi":"10.1373/clinchem.2018.286625","title":"Urine Lipoarabinomannan for Tuberculosis Diagnosis: Evolution and Prospects","year":2018,"lang":"en","type":"letter","venue":"Clinical Chemistry","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Lipoarabinomannan; Medicine; Tuberculosis; Tuberculosis diagnosis; Point-of-care testing; Intensive care medicine; Mycobacterium tuberculosis; Diagnostic test; Rapid diagnostic test; Urine; Test (biology); Emergency medicine; Immunology; Internal medicine; Pathology","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001525444,0.000289925,0.0004398303,0.0000208214,0.00005752247,0.00004988789,0.0001273554,0.00149887,0.00006027218],"category_scores_gemma":[0.0002859124,0.000276882,0.0002660398,0.00007528296,0.0001833914,0.00003767453,0.00004177072,0.00108582,0.00003012119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001046694,"about_ca_system_score_gemma":0.00001282597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002705151,"about_ca_topic_score_gemma":8.357629e-7,"domain_scores_codex":[0.9985392,0.00001200848,0.0005114649,0.000480131,0.0001281026,0.0003290658],"domain_scores_gemma":[0.9991813,0.0002448356,0.000068307,0.0003143779,0.0000777117,0.000113433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007942965,0.00002753902,0.001458244,0.001488072,0.000117848,0.00001184811,0.000001558886,0.000001783674,0.0001379298,0.000003220825,0.9953361,0.001407918],"study_design_scores_gemma":[0.000504941,0.0001222735,0.001129792,0.0002401112,0.0002611612,0.00001507193,0.000001920675,0.005761568,0.006893206,0.000867956,0.9836401,0.0005619462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5683923,0.006730048,0.001147263,0.4097783,0.004403172,0.001816251,0.0006349854,0.002203893,0.00489381],"genre_scores_gemma":[0.7452576,0.002977099,0.001294605,0.1252451,0.109261,0.001272043,0.0008995802,0.0006041817,0.0131888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2845331,"threshold_uncertainty_score":0.9999683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975831215020223,"score_gpt":0.266016167804754,"score_spread":0.2462578556545518,"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."}}