{"id":"W7125894295","doi":"10.1109/smc58881.2025.11343240","title":"DeepSick: Deceiving Voice-Based Diagnostic Models with Synthetic Multilingual Pathological Speech Signals","year":2025,"lang":"","type":"article","venue":"","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Focus (optics); Benchmark (surveying); Generative model; Generative grammar; Phonation; Hidden Markov model","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001109816,0.001024571,0.00149548,0.0006125139,0.0004512328,0.0001894415,0.000579536,0.0006789582,0.0017936],"category_scores_gemma":[0.004400566,0.0007630779,0.000446501,0.001234707,0.0007245014,0.0002350718,0.0001823683,0.001128372,0.0004362843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002346947,"about_ca_system_score_gemma":0.001655142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002817692,"about_ca_topic_score_gemma":0.0005195588,"domain_scores_codex":[0.9940565,0.00041723,0.001231515,0.00162075,0.00104884,0.001625207],"domain_scores_gemma":[0.9910353,0.006376732,0.000255225,0.001257246,0.0005026408,0.0005728829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008514705,0.02182036,0.1510947,0.006043123,0.003198028,0.02069447,0.005292379,0.1932735,0.01722588,0.007824853,0.004804835,0.5602132],"study_design_scores_gemma":[0.03226797,0.007617719,0.01669254,0.01839082,0.008506885,0.0003735428,0.01576417,0.7815869,0.1035449,0.008540724,0.002367688,0.004346166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8220689,0.005657596,0.1277936,0.004874377,0.0005008216,0.002618361,0.00002662606,0.0004353768,0.03602429],"genre_scores_gemma":[0.9776511,0.000614449,0.01051498,0.006405813,0.0001606044,0.000119216,0.00003020649,0.00009439626,0.004409261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5883135,"threshold_uncertainty_score":0.999482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02092513882277164,"score_gpt":0.286414479494413,"score_spread":0.2654893406716413,"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."}}