{"id":"W2142766913","doi":"10.1109/iembs.2000.900872","title":"A cochlear prosthesis stimulation algorithm targeting to minimize the rehabilitation phase and enhance speech comprehension","year":2002,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Speech recognition; Speech processing; Set (abstract data type); Cochlea; Algorithm; Vector quantization; Speech enhancement; Audiology; Artificial intelligence; Medicine","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":[0.0002756053,0.0004171513,0.0004145966,0.0003349306,0.0002316778,0.000384826,0.0004168836,0.0006630101,0.001551351],"category_scores_gemma":[0.0004786751,0.0001478624,0.0002100367,0.0002302596,0.0002409551,0.0003696365,0.000251582,0.0004104399,0.0005406858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003023902,"about_ca_system_score_gemma":0.0007706896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007803317,"about_ca_topic_score_gemma":0.00127969,"domain_scores_codex":[0.9998387,0.00002621354,0.00001736852,0.00004712384,0.00005247537,0.0000180865],"domain_scores_gemma":[0.999819,0.00004747216,0.00001334772,0.000009679468,0.00009797244,0.00001251697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002580611,0.0001269805,0.0006179513,0.0001512321,0.00003722196,0.00008023009,0.00008988394,0.02876114,0.2102136,0.004671464,0.00277222,0.75222],"study_design_scores_gemma":[0.0001994326,0.0006768075,0.003460466,0.00004072344,0.00008444227,0.001218082,0.00007995032,0.840313,0.1366518,0.004948174,0.01226614,0.0000611256],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01406095,0.0003464565,0.9837244,0.0001361677,0.00008736666,0.0001054839,0.00002895259,0.0005115205,0.0009987793],"genre_scores_gemma":[0.1822941,0.0003439341,0.8123689,0.0001266091,0.00005540143,0.0003372506,0.0001182959,0.00005469048,0.004300884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001551351,"threshold_uncertainty_score":0.005189836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409052712814657,"score_gpt":0.2722864166962906,"score_spread":0.258195889568144,"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."}}