{"id":"W4307497546","doi":"10.1007/s00702-022-02550-0","title":"The efficacy of acoustic-based articulatory phenotyping for characterizing and classifying four divergent neurodegenerative diseases using sequential motion rates","year":2022,"lang":"en","type":"article","venue":"Journal of Neural Transmission","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institutes of Health; National Institute on Deafness and Other Communication Disorders; York University; University of Wisconsin-Madison; University at Buffalo; Massachusetts General Hospital","keywords":"Amyotrophic lateral sclerosis; Primary progressive aphasia; Dysarthria; Disease; Spinocerebellar ataxia; Apraxia; Audiology; Neurology; Medicine; Neurodegeneration; Psychology; Neuroscience; Aphasia; Physical medicine and rehabilitation; Frontotemporal dementia; Pathology; Dementia","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002175839,0.0001010165,0.0002172968,0.0000818443,0.0004890893,0.00002173421,0.00005889045,0.00002096737,0.00001501328],"category_scores_gemma":[0.0000887069,0.0000669269,0.0001846423,0.00009068975,0.00004368879,0.0001160348,0.00001651476,0.0001936702,2.831407e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004479024,"about_ca_system_score_gemma":0.00009837859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001707767,"about_ca_topic_score_gemma":2.483596e-7,"domain_scores_codex":[0.9989478,0.0001263506,0.0003736087,0.0001078262,0.0002987714,0.0001456475],"domain_scores_gemma":[0.9992223,0.0001956391,0.0002932635,0.00006525547,0.0001148837,0.0001086],"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":[0.001867982,0.0001448195,0.003604358,0.0001363598,0.0000515747,0.00002609495,0.0002496729,0.02342636,0.9504863,0.000003938574,0.00002287229,0.01997964],"study_design_scores_gemma":[0.008365152,0.001633483,0.09292933,0.0004351765,0.001226394,0.0002099732,0.001140379,0.7693707,0.1235411,0.00007136172,0.0008477832,0.000229211],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742081,0.0008246274,0.02267336,0.001756522,0.0002582939,0.0002643651,0.00000745428,0.000006242448,0.000001077954],"genre_scores_gemma":[0.9990181,0.00007913929,0.0005468055,0.0001978045,0.0001295968,0.000003150129,0.000004259565,0.0000148168,0.000006329432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8269452,"threshold_uncertainty_score":0.3761729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06988477913895279,"score_gpt":0.3197115096710002,"score_spread":0.2498267305320474,"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."}}