{"id":"W4399490282","doi":"10.2196/57678","title":"Explainable AI Method for Tinnitus Diagnosis via Neighbor-Augmented Knowledge Graph and Traditional Chinese Medicine: Development and Validation Study","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Hearing, Cochlea, Tinnitus, Genetics","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tinnitus; Objectification; Medicine; Computer science; Medical physics; Artificial intelligence; Audiology","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":[0.002497369,0.0006403667,0.0004389531,0.002176891,0.0004432671,0.0008532461,0.0009562802,0.0007061721,0.001850115],"category_scores_gemma":[0.009631064,0.0002110738,0.001045276,0.00123014,0.0004076394,0.001392756,0.0007779492,0.0006289866,0.0001813408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320507,"about_ca_system_score_gemma":0.001550303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01810377,"about_ca_topic_score_gemma":0.01102726,"domain_scores_codex":[0.9986063,0.0005785303,0.00009954986,0.0003129921,0.0003370569,0.00006568991],"domain_scores_gemma":[0.9952105,0.003485294,0.0002255576,0.0003631825,0.0006430345,0.00007256035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005788584,0.001105495,0.06302609,0.000585113,0.0007148418,0.000535471,0.0009170718,0.3274178,0.004228374,0.01123706,0.002291325,0.5873625],"study_design_scores_gemma":[0.00002852386,0.0001253649,0.007132903,0.00002054445,0.0001018162,0.00007789363,0.0001059032,0.9886623,0.001048168,0.002074315,0.0006071728,0.00001507457],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4885753,0.00093122,0.5034201,0.0005082834,0.00006778146,0.0006982269,0.0006588801,0.001051003,0.004089221],"genre_scores_gemma":[0.8748668,0.0003132462,0.1231671,0.00006697729,0.00001863932,0.0002185737,0.0006349419,0.0000172673,0.0006963706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01810377,"threshold_uncertainty_score":0.03599679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05520326297158352,"score_gpt":0.3730764603837165,"score_spread":0.317873197412133,"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."}}