{"id":"W2079240096","doi":"10.1044/jslhr.4302.469","title":"Identification of Pathological Voices Using Glottal Noise Measures","year":2000,"lang":"en","type":"article","venue":"Journal of Speech Language and Hearing Research","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":183,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Vowel; Mathematics; Speech recognition; Noise (video); Flatness (cosmology); Phonation; Frequency domain; Statistics; Audiology; Computer science; Artificial intelligence; Medicine; Physics","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":[0.002316017,0.001011185,0.0006386227,0.002502777,0.0002617105,0.000786774,0.0004797321,0.001054599,0.0008045788],"category_scores_gemma":[0.01397302,0.0001995803,0.0003196961,0.0003039536,0.0006508013,0.0009962873,0.000780867,0.0002843034,0.000644566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001482679,"about_ca_system_score_gemma":0.0001895867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006919216,"about_ca_topic_score_gemma":0.0009959931,"domain_scores_codex":[0.9983481,0.0004571164,0.0001826419,0.000398828,0.0005043544,0.000108843],"domain_scores_gemma":[0.9945714,0.00302567,0.0005646221,0.0004032641,0.001131942,0.0003032046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00296798,0.0003389071,0.4167857,0.0005530231,0.0002589709,0.001501808,0.001976499,0.006244145,0.3052065,0.0003849044,0.0003098905,0.2634716],"study_design_scores_gemma":[0.00008583246,0.003031938,0.7508464,0.0001205645,0.0003566152,0.009406134,0.002016788,0.07798414,0.1528178,0.00145069,0.001647354,0.0002357168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815087,0.0005923596,0.01684608,0.00003806769,0.00001860052,0.00004082439,0.0001155369,0.00009744593,0.0007423395],"genre_scores_gemma":[0.990915,0.0001866166,0.008255119,0.0000218751,0.00001972052,0.00002133875,0.0002087055,0.00001914593,0.0003523367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002502777,"threshold_uncertainty_score":0.0122484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09285819691589228,"score_gpt":0.4177170588999209,"score_spread":0.3248588619840286,"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."}}