{"id":"W2895953983","doi":"10.1121/1.5067955","title":"Speech intelligibility testing of general service respirators","year":2018,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Respirator; Intelligibility (philosophy); Rhyme; Computer science; Test (biology); Reverberation; Acoustics; Speech recognition","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":[0.003620973,0.0006601838,0.00083636,0.0004672113,0.0004563853,0.0006708938,0.0006819217,0.0009075134,0.002019529],"category_scores_gemma":[0.01060986,0.0002258326,0.0005347296,0.0003342792,0.0007271126,0.0004152425,0.0009645871,0.0004015203,0.0007309038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003521335,"about_ca_system_score_gemma":0.0004466614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001260277,"about_ca_topic_score_gemma":0.001754883,"domain_scores_codex":[0.9978788,0.0007882657,0.0002997031,0.0003236261,0.000552227,0.0001575267],"domain_scores_gemma":[0.993193,0.002344585,0.0006368997,0.0004963762,0.00276696,0.0005622148],"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":[0.008429403,0.000885785,0.1284817,0.001200031,0.0001950533,0.002338623,0.01769748,0.00163567,0.7457647,0.0002154924,0.0005012046,0.09265477],"study_design_scores_gemma":[0.0003110326,0.05306433,0.6768745,0.0001244344,0.0003751907,0.006174816,0.01025667,0.00318362,0.2446787,0.0002073245,0.004559348,0.0001900208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977841,0.0001203216,0.00145801,0.00002367159,0.000008353266,0.00005550411,0.00006159433,0.00002610875,0.0004623398],"genre_scores_gemma":[0.996396,0.0001226561,0.002323502,0.00005419697,0.00001421883,0.00005608587,0.00009778201,0.00001729545,0.0009181675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003620973,"threshold_uncertainty_score":0.01914972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02864910740709805,"score_gpt":0.2849818642511198,"score_spread":0.2563327568440218,"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."}}