{"id":"W2535810271","doi":"10.1121/1.4783185","title":"Investigation of the optimum acoustical conditions for speech using auralization","year":2004,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reverberation; Intelligibility (philosophy); Acoustics; Rhyme; Speech recognition; Computer science; Background noise; Noise (video); Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000621047,0.0004772516,0.0005297654,0.0004626457,0.0002740888,0.0007750988,0.0002401492,0.0003152274,0.001051494],"category_scores_gemma":[0.003246689,0.0002438907,0.0003896313,0.0002171921,0.0005504752,0.0006680606,0.0005155106,0.0002252356,0.0002822407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002070169,"about_ca_system_score_gemma":0.0003589626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003727391,"about_ca_topic_score_gemma":0.0005196567,"domain_scores_codex":[0.9992803,0.0002271183,0.00007561111,0.0001748254,0.000143233,0.00009896483],"domain_scores_gemma":[0.998345,0.0008679454,0.0002491414,0.0001185756,0.0003131171,0.0001062236],"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":[0.001871656,0.00009707409,0.004488603,0.0003175872,0.0000321487,0.0001883112,0.0002559011,0.002948557,0.9654344,0.0005058497,0.00005436983,0.02380561],"study_design_scores_gemma":[0.0001435293,0.003876659,0.0582981,0.00006929936,0.0003181602,0.001235623,0.0007130709,0.0146652,0.9179344,0.000947448,0.001699977,0.00009838347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97243,0.0006953374,0.02551304,0.00002700974,0.00001514173,0.00003136697,0.00004791534,0.00007842083,0.001161802],"genre_scores_gemma":[0.9902452,0.0003574372,0.00913066,0.000009032373,0.00001066369,0.0000305341,0.00003736588,0.00002183775,0.0001572121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001051494,"threshold_uncertainty_score":0.003517568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0457958023294069,"score_gpt":0.3108173903737299,"score_spread":0.265021588044323,"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."}}