{"id":"W3080297254","doi":"10.3390/ijerph17176122","title":"Case Study in a Working Environment Highlighting the Divergence between Sound Level and Workers’ Perception towards Noise","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Noise Effects and Management","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Workplace Health, Safety and Compensation Commission; Toronto Metropolitan University","funders":"","keywords":"Noise (video); Sound level meter; Perception; Occupational safety and health; Noise effects; Psychology; Environmental health; Noise level; Audiology; Hearing loss; Computer science; 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":[0.004940649,0.0001084027,0.0001981075,0.0001935141,0.0005973403,0.00007574684,0.000275725,0.00004441082,0.0002398816],"category_scores_gemma":[0.0001613357,0.00007516663,0.00002879662,0.0001032824,0.0001445789,0.0002294139,0.0006511323,0.0009404006,0.00001544453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006404518,"about_ca_system_score_gemma":0.0001526335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009989307,"about_ca_topic_score_gemma":0.0001474472,"domain_scores_codex":[0.9965473,0.00117526,0.0005947037,0.0002255879,0.001012294,0.0004448718],"domain_scores_gemma":[0.9986403,0.0005376365,0.0002533677,0.00009197717,0.00002770221,0.0004490165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007295371,0.0002595781,0.8751916,0.00002493048,0.00007633598,0.0006408835,0.02116328,0.000005885361,0.00006034671,0.00004777949,0.0002724558,0.102184],"study_design_scores_gemma":[0.001185017,0.000745004,0.8995902,0.00006997982,0.000004873366,0.00008052115,0.09238742,0.0000760693,5.053593e-7,0.0001188566,0.005672074,0.00006949974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9664773,0.0002880997,0.0004903838,0.0317978,0.0001393634,0.0006910968,0.00001628297,0.000003426354,0.00009625425],"genre_scores_gemma":[0.9972488,0.001170203,0.0001631627,0.0008006529,0.0005175657,0.00002344032,0.000003647231,0.00001110982,0.00006138702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1021145,"threshold_uncertainty_score":0.4594319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3774476493970743,"score_gpt":0.4793065622091361,"score_spread":0.1018589128120618,"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."}}