{"id":"W1896395071","doi":"","title":"Maintaining speech intelligibility in communication headsets equipped with active noise control","year":2004,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Headset; Active noise control; Headphones; Intelligibility (philosophy); Computer science; Acoustics; Noise (video); Noise control; Speech recognition; Telecommunications; Noise reduction; Physics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007852003,0.0005059754,0.0004890166,0.0005728703,0.0003950796,0.0006846031,0.0004742884,0.0005951092,0.002608127],"category_scores_gemma":[0.003546704,0.0002008306,0.0003447268,0.0002210097,0.0005250456,0.0007775375,0.001051027,0.0002746214,0.0009010414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002121211,"about_ca_system_score_gemma":0.0002741709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005807334,"about_ca_topic_score_gemma":0.0004033016,"domain_scores_codex":[0.9991851,0.0003009865,0.00008446655,0.0001020053,0.0001823333,0.0001450238],"domain_scores_gemma":[0.9984564,0.0007668432,0.0001387108,0.0001274901,0.0003496679,0.0001610031],"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":[0.01445123,0.001173927,0.04169814,0.001057336,0.000258726,0.005236549,0.002741612,0.006278527,0.6460747,0.001183401,0.001788978,0.278057],"study_design_scores_gemma":[0.000714505,0.03319998,0.2445888,0.0003739215,0.001221742,0.01586287,0.003592535,0.033726,0.6520553,0.002576491,0.01181677,0.0002710137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839108,0.0004369657,0.01340806,0.00006493652,0.00004468107,0.00005347042,0.00006953589,0.0002041093,0.001807495],"genre_scores_gemma":[0.9939767,0.0002046902,0.00389514,0.00005513194,0.0000390048,0.00004640875,0.0001311806,0.00002798057,0.001623682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002608127,"threshold_uncertainty_score":0.008725047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059424011331223,"score_gpt":0.2395697461108901,"score_spread":0.2289755059975779,"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."}}