{"id":"W2092388977","doi":"10.1121/1.4788070","title":"Can operating room nurses accurately classify noise exposures?","year":2006,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"QUIET; Noise (video); Sound level meter; Significant difference; Audiology; Noise exposure; Noise level; Medicine; Psychology; Computer science; Hearing loss; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01119524,0.0006387237,0.0007542144,0.001545995,0.0004445191,0.002475613,0.001119,0.002289063,0.001609956],"category_scores_gemma":[0.0888836,0.0005189919,0.0006842907,0.0009080163,0.0009475157,0.003911118,0.00116001,0.0008467831,0.001637694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008972257,"about_ca_system_score_gemma":0.001219785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01387117,"about_ca_topic_score_gemma":0.0222495,"domain_scores_codex":[0.9930881,0.002642455,0.0008675991,0.0008040032,0.002095661,0.0005021123],"domain_scores_gemma":[0.9657702,0.01220929,0.009923179,0.002651841,0.008641187,0.0008041624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000432695,0.0002181668,0.8537751,0.0003291026,0.0001252612,0.00009316787,0.002975519,0.0008208329,0.0007756762,0.0001441587,0.002993086,0.1373173],"study_design_scores_gemma":[0.00005942174,0.0006959632,0.9752925,0.0007362486,0.0001184655,0.0003793991,0.008458018,0.006928682,0.001017727,0.00162338,0.004587489,0.0001026266],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632081,0.003911406,0.01370311,0.007580788,0.0007038876,0.0003166649,0.0009084431,0.0001770462,0.009490655],"genre_scores_gemma":[0.9885015,0.001558972,0.007036459,0.001156666,0.0001873672,0.0001797898,0.0005463546,0.00001836212,0.0008145564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01387117,"threshold_uncertainty_score":0.05920678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08229686189518495,"score_gpt":0.4168321204741768,"score_spread":0.3345352585789918,"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."}}