{"id":"W2969750807","doi":"10.2196/14036","title":"An Ototoxicity Grading System Within a Mobile App (OtoCalc) for a Resource-Limited Setting to Guide Grading and Management of Drug-Induced Hearing Loss in Patients With Drug-Resistant Tuberculosis: Prospective, Cross-Sectional Case Series","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Hearing, Cochlea, Tinnitus, Genetics","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; South African Medical Research Council","keywords":"Ototoxicity; Drug resistant tuberculosis; Hearing loss; Medicine; Grading (engineering); Drug; mHealth; Tuberculosis; Audiology; Pharmacology; Surgery; Mycobacterium tuberculosis; Engineering; Psychological intervention; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002283345,0.0004488227,0.0004354606,0.002551454,0.0008243505,0.0008333609,0.0006066608,0.0006812467,0.002198027],"category_scores_gemma":[0.004959228,0.000238063,0.0004264649,0.0009244098,0.0003919269,0.001407785,0.001409576,0.0007716866,0.0006460238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000627811,"about_ca_system_score_gemma":0.001023161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001982279,"about_ca_topic_score_gemma":0.004702798,"domain_scores_codex":[0.9988598,0.0003356454,0.0002959661,0.0001163334,0.0002734077,0.000118913],"domain_scores_gemma":[0.9970952,0.000686389,0.000926675,0.0001949151,0.0007344959,0.000362394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003446312,0.0006787405,0.8550674,0.0008351175,0.00003987962,0.03678607,0.004693479,0.0003076553,0.006580176,0.0002809589,0.004125437,0.09026044],"study_design_scores_gemma":[0.0001224289,0.003525749,0.8100211,0.001313382,0.0001846035,0.1408934,0.01499581,0.004252279,0.004984575,0.0005704729,0.01892516,0.0002109642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786929,0.001508474,0.008983161,0.0007071051,0.0001125296,0.003537603,0.001055986,0.0001345943,0.005267516],"genre_scores_gemma":[0.9771224,0.001234181,0.01776286,0.0003453808,0.00007434801,0.001534524,0.0005763914,0.00003374925,0.001316083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002551454,"threshold_uncertainty_score":0.01207566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02952689321246697,"score_gpt":0.3359552370203681,"score_spread":0.3064283438079011,"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."}}