{"id":"W2936838539","doi":"10.3390/ohbm1020010","title":"Ototoxicity and Noise","year":2018,"lang":"en","type":"article","venue":"Journal of Otorhinolaryngology Hearing and Balance Medicine","topic":"Noise Effects and Management","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ototoxicity; Audiology; Noise (video); Hearing loss; Noise exposure; Computer science; Medicine; Internal medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00148837,0.0001117251,0.0004162956,0.0001431289,0.0003410214,0.000003580379,0.00008849771,0.0001105522,0.0001428109],"category_scores_gemma":[0.0003381287,0.00007157915,0.00002052844,0.00008084561,0.0003454168,0.00009972976,0.0001043886,0.0005425951,0.00001086468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003265441,"about_ca_system_score_gemma":0.00004430726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001163595,"about_ca_topic_score_gemma":0.00001748589,"domain_scores_codex":[0.9987663,0.0002141533,0.0004475364,0.0001405852,0.0001510437,0.0002803619],"domain_scores_gemma":[0.9989355,0.0002881481,0.0003099089,0.0001277966,0.0001621759,0.0001765357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002707732,0.00004011922,0.944978,0.0003780317,0.00007924642,0.00008602477,0.002606982,1.800132e-7,0.02650417,0.001709563,0.01925542,0.004091508],"study_design_scores_gemma":[0.002478605,0.001565758,0.9420844,0.0007083498,0.00005404651,0.000154426,0.0004159946,0.0001064463,0.0001066726,0.0006207782,0.05161248,0.00009209811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890624,0.001394004,0.000347767,0.00458092,0.001181108,0.000218676,6.666687e-7,0.00001705537,0.003197418],"genre_scores_gemma":[0.9929906,0.0005698996,0.0004450141,0.003024884,0.002125699,0.000004573666,3.428514e-7,0.000009779755,0.0008292542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03235706,"threshold_uncertainty_score":0.2918913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03836088645966427,"score_gpt":0.3890429198037717,"score_spread":0.3506820333441074,"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."}}