{"id":"W2743132707","doi":"","title":"Digital noise reduction in hearing aids and its acoustic effect on consonants /s/ and /z/.","year":2018,"lang":"en","type":"article","venue":"PubMed","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Noise (video); Audiology; Acoustics; Medicine; Noise reduction; Hearing loss; Physics; Computer science","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":[0.0003491915,0.0003746281,0.0001230422,0.0003031479,0.0001092607,0.0002187043,0.000224316,0.000305709,0.002045046],"category_scores_gemma":[0.001102465,0.0001132774,0.0001938921,0.0001570093,0.0002516869,0.0001685205,0.0002146576,0.0001489043,0.0004097262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001590894,"about_ca_system_score_gemma":0.000121752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007168578,"about_ca_topic_score_gemma":0.0007208638,"domain_scores_codex":[0.999755,0.00005167286,0.00001962276,0.00003326541,0.0001212164,0.00001919703],"domain_scores_gemma":[0.9995058,0.0002490037,0.00007993795,0.0000244371,0.000112938,0.00002787275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003310584,0.0003186746,0.01311662,0.0008210936,0.00006824281,0.000439294,0.0002787012,0.0006232193,0.8485104,0.0001139765,0.000212263,0.132187],"study_design_scores_gemma":[0.00007345428,0.01276654,0.3014782,0.0001299198,0.0003247256,0.005303275,0.0004775336,0.00294048,0.667725,0.0001830045,0.008549291,0.00004852097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913543,0.00373653,0.002699148,0.00004647726,0.00003061498,0.00003501803,0.00009532223,0.00007652311,0.00192613],"genre_scores_gemma":[0.9928357,0.001254053,0.004275672,0.00005651915,0.00001749116,0.00002932561,0.0001475543,0.00001380715,0.001369829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002045046,"threshold_uncertainty_score":0.006841302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03146259092793862,"score_gpt":0.2600595896614686,"score_spread":0.22859699873353,"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."}}