{"id":"W4391144321","doi":"10.3389/fneur.2024.1310548","title":"Digital assessment of speech in Huntington disease","year":2024,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health","keywords":"Dysarthria; Random forest; Huntington's disease; Audiology; Cognition; Rating scale; Psychology; Intelligibility (philosophy); Speech recognition; Computer science; Medicine; Disease; Artificial intelligence; Developmental psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008772397,0.0004550439,0.0002842829,0.0009908987,0.0001353261,0.0004216667,0.000201747,0.000298672,0.001679652],"category_scores_gemma":[0.002630498,0.00008579906,0.0001554981,0.0003294513,0.0003194697,0.0003266662,0.0003891414,0.0002124887,0.0002885619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001943736,"about_ca_system_score_gemma":0.0001229914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001026821,"about_ca_topic_score_gemma":0.002012379,"domain_scores_codex":[0.9996964,0.0001012111,0.00004314673,0.00006416546,0.00007490964,0.00002023335],"domain_scores_gemma":[0.9989704,0.000428192,0.0002351689,0.00005146399,0.0002468719,0.00006784635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003285949,0.0002100961,0.7049788,0.0007254053,0.0002074129,0.001934484,0.001074209,0.002604539,0.06196145,0.0002325605,0.001341372,0.2214437],"study_design_scores_gemma":[0.00005310277,0.0009854805,0.9723443,0.00009892561,0.0001264613,0.004829876,0.0004227327,0.007949858,0.01141568,0.0003837425,0.001354404,0.00003546632],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916529,0.001166058,0.005000875,0.0000442373,0.00002353953,0.00009626766,0.0005978387,0.0000670281,0.001351195],"genre_scores_gemma":[0.9923232,0.0004815091,0.006138585,0.00003613556,0.00002470082,0.00006273203,0.0004530221,0.000009103388,0.0004710846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001679652,"threshold_uncertainty_score":0.005618989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325617069742746,"score_gpt":0.2776781242971116,"score_spread":0.2644219535996841,"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."}}