{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002890863,0.0001359585,0.0001669924,0.0002000506,0.000156006,0.0001522776,0.0006787992,0.00007754931,0.000007871904],"category_scores_gemma":[0.0001613046,0.0001331386,0.00002052774,0.0004643498,0.0000984237,0.0003561742,0.00004881574,0.0003043326,0.00002040306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009546843,"about_ca_system_score_gemma":0.001422499,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01511748,"about_ca_topic_score_gemma":0.06780595,"domain_scores_codex":[0.998853,0.00004355445,0.0001903326,0.0002860915,0.0001549707,0.0004721088],"domain_scores_gemma":[0.9987901,0.00008994486,0.00007516392,0.0005872432,0.0001261566,0.0003313217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002958604,0.0004817965,0.03678701,0.0001731709,0.0001525924,0.002339543,0.01486347,0.1844931,0.03975978,0.02304809,0.0007655774,0.69684],"study_design_scores_gemma":[0.02185565,0.001663037,0.4445942,0.002927572,0.0001777185,0.0009727597,0.00965398,0.1824565,0.1260981,0.2025813,0.00190058,0.005118683],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3975416,0.0001144339,0.5956088,0.003408494,0.00008116528,0.0002897495,0.00001680034,0.00008027277,0.002858672],"genre_scores_gemma":[0.9354001,0.00001047182,0.06311007,0.001414402,0.00002526533,0.00000791855,0.000006192599,0.00001038886,0.00001521494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6917213,"threshold_uncertainty_score":0.991441,"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."}}