{"id":"W4413195261","doi":"10.1101/2025.08.08.669370","title":"A Core Pattern of Cerebellar and Brainstem Degeneration and Reduced Cerebrocerebellar Structural Covariance in Spinocerebellar Ataxia Type 3 (SCA3): MRI Volumetrics from ENIGMA-Ataxia","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Center for Advancing Translational Sciences; UCLH Biomedical Research Centre; National Natural Science Foundation of China; Deutsche Forschungsgemeinschaft; National Institute for Health and Care Research; National Institutes of Health; Fundo Regional para a Ciência e Tecnologia; Friedreich's Ataxia Research Alliance","keywords":"Spinocerebellar ataxia; Atrophy; Cerebellum; Voxel-based morphometry; Ataxia; Brainstem; Neuroscience; Cerebellar Degeneration; Pathology; White matter; Machado–Joseph disease; Psychology; Cerebellar ataxia; Medicine; Magnetic resonance imaging; Radiology","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":[0.0002550838,0.00025362,0.0002569312,0.001079989,0.0002668267,0.0004732447,0.0002636032,0.0002867182,0.001901106],"category_scores_gemma":[0.0007770449,0.0001445614,0.0002852804,0.0005961427,0.0004755961,0.0002325921,0.0003926179,0.0002452123,0.0002049434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002548919,"about_ca_system_score_gemma":0.0002536222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006064937,"about_ca_topic_score_gemma":0.01068903,"domain_scores_codex":[0.9998605,0.00001311754,0.00001712511,0.00005504292,0.00003650923,0.00001766084],"domain_scores_gemma":[0.9994593,0.00004610849,0.0003159215,0.00005468401,0.00006147544,0.00006240668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008521535,0.00005121872,0.8285165,0.00009788803,0.0003603255,0.0009849601,0.0007840956,0.0004254208,0.1532056,0.0002452279,0.0004183459,0.01405811],"study_design_scores_gemma":[0.000002464594,0.00002596751,0.9984706,0.000003684715,0.00001607224,0.0006315139,0.00004950429,0.00009304886,0.0005801404,0.00007373199,0.00005096314,0.000002302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984875,0.0002359349,0.0003922908,0.00003307137,0.000002063662,0.000004829352,0.0003394305,0.00002878639,0.0004761759],"genre_scores_gemma":[0.9992383,0.0000580614,0.000246453,0.00001161119,0.0000035483,0.000003121653,0.0002899155,0.000009809419,0.0001392681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006064937,"threshold_uncertainty_score":0.01205927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03182135176940405,"score_gpt":0.2505259750666519,"score_spread":0.2187046232972479,"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."}}