{"id":"W4214540748","doi":"10.3390/app12052398","title":"A Novel Pathological Voice Identification Technique through Simulated Cochlear Implant Processing Systems","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Cochlear implant; Speech recognition; Band-pass filter; Computer science; Identification (biology); Speech processing; Signal processing; Engineering; Audiology; Medicine; Electronic engineering; Digital signal processing; Biology; Computer hardware","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":[0.0002342546,0.0004286677,0.0002388672,0.0002841723,0.0001682241,0.0005073903,0.0004682345,0.0004702054,0.001076595],"category_scores_gemma":[0.0005805193,0.000131086,0.0003022184,0.0001234454,0.0001916865,0.0004614046,0.000357543,0.0002670713,0.000380292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002397006,"about_ca_system_score_gemma":0.0004190425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000857441,"about_ca_topic_score_gemma":0.001139682,"domain_scores_codex":[0.9998394,0.00002601842,0.00001133914,0.00003333187,0.00007375812,0.00001608332],"domain_scores_gemma":[0.9998684,0.00003294974,0.00001837695,0.00001928049,0.00004924883,0.00001183437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000819617,0.0001969547,0.005153137,0.0002750711,0.0001130321,0.0008758023,0.0003387963,0.1023644,0.6121691,0.003375448,0.00111431,0.2732043],"study_design_scores_gemma":[0.00002256649,0.0006486851,0.00318087,0.00002140901,0.00007962486,0.0009738985,0.00008958016,0.8254102,0.1643893,0.001097367,0.004043565,0.00004288154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2285136,0.0003563241,0.7659152,0.0001871234,0.0001841875,0.0001080269,0.00009339742,0.001782689,0.002859381],"genre_scores_gemma":[0.8980737,0.0001732301,0.09939223,0.00006522436,0.00002111522,0.00005599884,0.00008628324,0.00003682966,0.002095497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001076595,"threshold_uncertainty_score":0.003601611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03755339036947489,"score_gpt":0.2847590160234362,"score_spread":0.2472056256539613,"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."}}