{"id":"W4409974514","doi":"10.1007/s12311-025-01842-x","title":"Current and future applications of brain magnetic resonance imaging in ARSACS","year":2025,"lang":"en","type":"review","venue":"The Cerebellum","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Università degli Studi di Napoli Federico II","keywords":"Magnetic resonance imaging; Neuroscience; Medicine; Neuroimaging; Biomarker; Neurology; Psychology; Radiology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001368348,0.0002647295,0.000539165,0.0001631249,0.00008685606,0.00002836024,0.0005836944,0.0000434709,0.00003179394],"category_scores_gemma":[0.0001609534,0.0001897015,0.0001185157,0.0007303912,0.0002485527,0.00002376602,0.0002447785,0.0002839853,0.00001044848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002436448,"about_ca_system_score_gemma":0.0002099418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005171007,"about_ca_topic_score_gemma":0.000008038533,"domain_scores_codex":[0.9981496,0.0005009291,0.0003994751,0.000549238,0.0001805057,0.0002202377],"domain_scores_gemma":[0.99847,0.0006392496,0.0001791532,0.0006419038,0.00002436758,0.00004531837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001208003,0.0000395547,0.00001453427,0.002916873,4.818441e-7,0.000001086007,0.00003883503,4.330041e-7,0.00005933485,0.001051019,0.0005552621,0.9953214],"study_design_scores_gemma":[0.00009146096,0.00000830421,0.000113624,0.001881261,0.00007913746,0.000006318085,0.000011251,0.00001055234,0.0002798191,0.0003979421,0.9969696,0.0001507772],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005175335,0.9973574,0.00002478704,0.0003991929,0.0001858369,0.001320811,0.0001655936,0.00001667961,0.0004778953],"genre_scores_gemma":[0.0001042043,0.9986687,0.00001770264,0.0001722459,0.0001400817,0.0003530721,0.000006362967,0.0000225087,0.0005151001],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9964143,"threshold_uncertainty_score":0.7735803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372870033063881,"score_gpt":0.314202476012673,"score_spread":0.2904737756820343,"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."}}