{"id":"W2095531537","doi":"10.1615/critrevbiomedeng.v40.i1.40","title":"Pathological Speech Signal Analysis Using Time-Frequency Approaches","year":2012,"lang":"en","type":"article","venue":"Critical Reviews in Biomedical Engineering","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Variety (cybernetics); SIGNAL (programming language); Speech recognition; Task (project management); Artificial intelligence; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001390715,0.0002571203,0.0009488032,0.0004250523,0.00003437079,0.00001663266,0.00014311,0.0002752088,0.0008969777],"category_scores_gemma":[0.003026203,0.0001956839,0.0003630602,0.001583978,0.000208017,0.0001279882,0.00006745548,0.0005420989,0.0001752994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000118337,"about_ca_system_score_gemma":0.00003439538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005489318,"about_ca_topic_score_gemma":2.62151e-7,"domain_scores_codex":[0.9976762,0.00009020445,0.0006962388,0.0003265904,0.0004247752,0.0007859737],"domain_scores_gemma":[0.9987225,0.0002620895,0.00003174029,0.0002992164,0.00002506885,0.0006593914],"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":[0.000252136,0.01334819,0.1655754,0.01224586,0.002034047,0.003570152,0.001711193,0.0005761107,0.1465874,0.03653526,0.002804717,0.6147596],"study_design_scores_gemma":[0.005366658,0.001332055,0.07172414,0.005782377,0.01143909,0.00237028,0.0004759147,0.7032438,0.002785949,0.001349987,0.1895556,0.004574134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5038565,0.1415949,0.3388492,0.004480581,0.0008511454,0.002224696,0.00003187304,0.0005794064,0.007531553],"genre_scores_gemma":[0.8897123,0.0008940854,0.1081056,0.000531434,0.0005679092,0.00004907868,0.00005841868,0.0000370349,0.00004418679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7026677,"threshold_uncertainty_score":0.9821276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08534274226295085,"score_gpt":0.3349842027121065,"score_spread":0.2496414604491557,"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."}}