{"id":"W1920253818","doi":"10.1504/ijbet.2009.027799","title":"Acoustic study of dysarthria","year":2009,"lang":"en","type":"article","venue":"International Journal of Biomedical Engineering and Technology","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Dysarthria; Computer science; Speech recognition; Artificial intelligence; Audiology; 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":[0.0007881967,0.000382205,0.0003294629,0.001919041,0.0002159723,0.0004270585,0.0002174911,0.0004347675,0.001098412],"category_scores_gemma":[0.003372866,0.0001163929,0.000142361,0.0004956954,0.0004107808,0.0003055761,0.0004453487,0.0001746144,0.0003222355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000146227,"about_ca_system_score_gemma":0.0001443807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007724881,"about_ca_topic_score_gemma":0.00082327,"domain_scores_codex":[0.9993104,0.0001625362,0.00007861559,0.0001018843,0.000312638,0.00003402544],"domain_scores_gemma":[0.9987653,0.0005368546,0.0001957084,0.00006521315,0.0003538594,0.00008306122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002058658,0.0003866662,0.247892,0.001022991,0.0002803942,0.00353029,0.003377457,0.001964079,0.4084588,0.0003070917,0.0006409669,0.3300805],"study_design_scores_gemma":[0.00006656318,0.00142436,0.9262631,0.0000784674,0.0001363958,0.01481599,0.001546142,0.004665602,0.04811753,0.0002775403,0.002533192,0.00007512273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911141,0.0008678686,0.006213455,0.0000346472,0.00001758425,0.00006713423,0.0001244616,0.0000511225,0.001509565],"genre_scores_gemma":[0.9947291,0.0004843686,0.003957477,0.00002921462,0.00002733538,0.00003348981,0.00008754332,0.00001030443,0.0006411902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001919041,"threshold_uncertainty_score":0.004168451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004345483928697901,"score_gpt":0.2583838217322401,"score_spread":0.2540383378035422,"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."}}