{"id":"W4233485410","doi":"10.1121/1.4800424","title":"Advanced hearing protection and auditory awareness in individuals with hearing loss","year":2013,"lang":"en","type":"article","venue":"Proceedings of meetings on acoustics","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Defence Research and Development Canada","keywords":"Active listening; Situation awareness; Computer science; Task (project management); Hearing loss; Noise (video); Hearing protection; Ambient noise level; Speech recognition; Audiology; Psychology; Engineering; Acoustics; Artificial intelligence; Communication; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004961262,0.0002346485,0.0003385885,0.000778537,0.0003192356,0.0006486984,0.0001441226,0.0005194898,0.001681984],"category_scores_gemma":[0.003804541,0.0001278861,0.0002148765,0.0002218363,0.0003402111,0.0004690597,0.0004911134,0.0004213057,0.0002339816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001391586,"about_ca_system_score_gemma":0.0001219138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001319436,"about_ca_topic_score_gemma":0.001448283,"domain_scores_codex":[0.9997782,0.000044076,0.00003094649,0.00003185551,0.00006382904,0.00005094075],"domain_scores_gemma":[0.9990435,0.000358915,0.0002579779,0.00004749414,0.0001069712,0.0001851273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002846649,0.002016635,0.9086147,0.0001628392,0.0001458689,0.003459068,0.005404948,0.0004267576,0.01458137,0.0001676793,0.000432362,0.06174112],"study_design_scores_gemma":[0.00002220497,0.001793539,0.993164,0.000018017,0.0000574861,0.002205728,0.00139825,0.0002968539,0.0005977338,0.0002103105,0.0002226272,0.00001327672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992571,0.0001165663,0.00004639418,0.00002415224,0.00000372939,0.000004000014,0.000007891309,0.000002124502,0.0005378925],"genre_scores_gemma":[0.9996758,0.00005429531,0.00003965618,0.00002174132,0.000003861029,0.000002669931,0.00001072454,6.178759e-7,0.0001907009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001681984,"threshold_uncertainty_score":0.005626798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02360490653995289,"score_gpt":0.2587106880883265,"score_spread":0.2351057815483736,"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."}}