{"id":"W4393032348","doi":"10.32920/25413235.v1","title":"Noise exposure and hearing loss in classical orchestra musicians","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Noise Effects and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acoustics; Audiology; Noise (video); Noise exposure; Hearing loss; Art; Speech recognition; Computer science; Physics; Medicine; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004288827,0.0002376328,0.0001655064,0.001049362,0.0004313156,0.0004739835,0.0002564127,0.0004846486,0.004004372],"category_scores_gemma":[0.001608155,0.0001813387,0.0001942172,0.0004551146,0.0004465545,0.0003613066,0.0005938799,0.0003178583,0.0006967696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000428035,"about_ca_system_score_gemma":0.000331748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006450033,"about_ca_topic_score_gemma":0.009518784,"domain_scores_codex":[0.9995919,0.00005417826,0.0000323846,0.00007978626,0.0001633119,0.00007841337],"domain_scores_gemma":[0.9988816,0.0001659461,0.0004323161,0.00004945595,0.0001852709,0.0002853399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007993056,0.0002175397,0.9790278,0.00004334187,0.00003573258,0.0009238029,0.0005833685,0.00006056896,0.008333389,0.00002510704,0.0001982156,0.009751885],"study_design_scores_gemma":[0.000002190766,0.0002968242,0.9983222,0.00000522361,0.000005566754,0.0004576164,0.0003149481,0.00002334522,0.0004703471,0.000009937164,0.00008887605,0.000002999621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990741,0.0001283265,0.00009897196,0.00002467251,0.000005754138,0.000007239048,0.00005273765,0.000003830641,0.0006042992],"genre_scores_gemma":[0.9992433,0.00005759574,0.00007639435,0.00003094575,0.00001073002,0.000007126678,0.0000505691,0.000002314391,0.0005210261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006450033,"threshold_uncertainty_score":0.01339591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06680442604649921,"score_gpt":0.399394544347576,"score_spread":0.3325901183010768,"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."}}