{"id":"W1525303861","doi":"","title":"Perception of increasing or decreasing signal intensity and effects of compression by hearing aids","year":2003,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Noise Effects and Management","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Hearing aid; Compression (physics); Perception; Audiology; Intensity (physics); Noise (video); Compression ratio; Hearing loss; Acoustics; Data compression; Computer science; Speech recognition; Psychology; Engineering; Medicine; Algorithm; Materials science; Artificial intelligence; Physics; Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004972388,0.0001062673,0.0002580514,0.0001387142,0.0002864368,0.000005548969,0.00005280723,0.0001148813,0.00009340878],"category_scores_gemma":[0.0005935749,0.00009136067,0.00002167407,0.0001161344,0.00006898612,0.0000491115,0.0000380488,0.0002092714,0.000002598867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002005586,"about_ca_system_score_gemma":0.0002884666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05012825,"about_ca_topic_score_gemma":0.00198658,"domain_scores_codex":[0.9988457,0.0003321329,0.0002556895,0.000145956,0.0001145602,0.000305967],"domain_scores_gemma":[0.9987752,0.0005334922,0.0001216371,0.0001406598,0.0001190708,0.0003099376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001869056,0.0000623357,0.07910852,0.003807402,0.00006078519,0.00003599636,0.00225854,0.0000652075,0.8878727,0.0009030642,0.01026499,0.01537356],"study_design_scores_gemma":[0.005521485,0.001338858,0.9351665,0.01014658,0.0007611477,0.00003568274,0.02093801,0.008545722,0.007804592,0.0008331921,0.007869108,0.00103909],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924573,0.0001097323,0.005646719,0.00002841968,0.0002659755,0.0004825947,0.00001377881,0.00001309851,0.0009824208],"genre_scores_gemma":[0.9957206,0.00004427413,0.003577615,0.0004124439,0.00003708441,0.000006038134,0.000008196864,0.00001695189,0.0001767642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8800681,"threshold_uncertainty_score":0.956197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0239959679023035,"score_gpt":0.3184169906325325,"score_spread":0.294421022730229,"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."}}