{"id":"W1491222256","doi":"","title":"Noise exposure of opera orchestra players","year":2003,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Noise Effects and Management","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Opera; Noise exposure; Noise (video); Opera house; Limit (mathematics); Acoustics; Audiology; Speech recognition; Engineering; Computer science; Art; Hearing loss; Visual arts; Mathematics; Physics; Medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003509522,0.0001130056,0.0001762181,0.0001372188,0.0002571058,0.000005287715,0.000134161,0.0001390112,0.0009921254],"category_scores_gemma":[0.0002986691,0.0001062852,0.00003377305,0.0001592587,0.00004324874,0.0000352904,0.00001627023,0.0002796341,0.0001705398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002579321,"about_ca_system_score_gemma":0.001255336,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01818762,"about_ca_topic_score_gemma":0.01497422,"domain_scores_codex":[0.9988239,0.0001418121,0.0002595423,0.0001507904,0.0001194924,0.0005044104],"domain_scores_gemma":[0.9989116,0.000137863,0.00007167403,0.000303925,0.0001003598,0.0004745334],"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":[0.00003948603,0.0001312998,0.0525964,0.00210189,0.0002329274,0.0003819922,0.008020235,0.004220075,0.04569251,0.2032012,0.6759375,0.0074445],"study_design_scores_gemma":[0.003322344,0.0004486125,0.187164,0.0005619455,0.0003016551,0.00000544896,0.0144897,0.0008951235,0.0004637405,0.001064168,0.7902932,0.0009900877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8326108,0.0002123696,0.00223824,0.0005209323,0.002042666,0.00119472,0.0001466805,0.00004796437,0.1609857],"genre_scores_gemma":[0.9890434,0.00003310407,0.001204674,0.001873159,0.00009833523,0.00003124978,0.00001052029,0.00002520982,0.007680363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.202137,"threshold_uncertainty_score":0.9999211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03404750669239923,"score_gpt":0.3368725354322292,"score_spread":0.30282502873983,"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."}}