{"id":"W4410135454","doi":"10.1097/aud.0000000000001670","title":"Machine Learning Models Can Predict Tinnitus and Noise-Induced Hearing Loss","year":2025,"lang":"en","type":"article","venue":"Ear and Hearing","topic":"Hearing, Cochlea, Tinnitus, Genetics","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Lethbridge; Dalhousie University","funders":"","keywords":"Tinnitus; Hearing loss; Audiology; Medicine; Noise-induced hearing loss; Logistic regression; Presbycusis; Population; Noise exposure","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003111483,0.0007964874,0.0005023757,0.001512354,0.0001895534,0.0007979916,0.0003619872,0.0006483772,0.0008886902],"category_scores_gemma":[0.01378487,0.0001759983,0.0006025904,0.0005580531,0.000227049,0.000630278,0.0004222279,0.0005283479,0.0003488818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005047105,"about_ca_system_score_gemma":0.0007126834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009530967,"about_ca_topic_score_gemma":0.009088407,"domain_scores_codex":[0.9991529,0.0003607814,0.0000931215,0.0001582136,0.0001615491,0.00007349241],"domain_scores_gemma":[0.9943923,0.004328593,0.000574908,0.0001389204,0.000462189,0.0001030182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006533145,0.0007091844,0.5803105,0.0002376286,0.0007217786,0.0001697389,0.0001806368,0.2963689,0.001575877,0.0004667697,0.001774474,0.1168311],"study_design_scores_gemma":[0.00003434007,0.0003363939,0.09119333,0.0001102236,0.0001425513,0.0001302086,0.0001477756,0.9051064,0.0008793463,0.00127582,0.0006131955,0.00003050571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382365,0.001694776,0.05556185,0.000633431,0.00007684085,0.0001145175,0.0009496884,0.0005238249,0.002208664],"genre_scores_gemma":[0.9913531,0.000227878,0.007535043,0.00005184442,0.00002551255,0.00003259593,0.0004821491,0.000007125328,0.0002847104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009530967,"threshold_uncertainty_score":0.018951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0662510539588161,"score_gpt":0.2861665223076016,"score_spread":0.2199154683487855,"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."}}