{"id":"W4399439583","doi":"10.1002/mds.29871","title":"<scp>MRI‐ARSACS</scp>: An Imaging Index for Autosomal Recessive Spastic Ataxia of Charlevoix‐Saguenay (<scp>ARSACS)</scp> Identification Based on the Multicenter <scp>PROSPAX</scp> Study","year":2024,"lang":"en","type":"article","venue":"Movement Disorders","topic":"Hereditary Neurological Disorders","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Deutsche Forschungsgemeinschaft","keywords":"Medicine; Magnetic resonance imaging; Receiver operating characteristic; Hereditary spastic paraplegia; Area under the curve; Pons; Spastic; Differential diagnosis; Internal medicine; Nuclear medicine; Pathology; Radiology; Genetics; Biology; Physical medicine and rehabilitation; Cerebral palsy; Phenotype","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001448388,0.0005755611,0.0005089311,0.001549586,0.0004558442,0.0005022115,0.0003471439,0.0004260905,0.0008966625],"category_scores_gemma":[0.001749614,0.0001642226,0.0003769308,0.0005719856,0.0003742501,0.0002881998,0.0006281291,0.0002117246,0.0002364163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004022416,"about_ca_system_score_gemma":0.0003280603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0028304,"about_ca_topic_score_gemma":0.003017795,"domain_scores_codex":[0.9996454,0.00009542111,0.00004073374,0.0001182753,0.00006593359,0.00003430531],"domain_scores_gemma":[0.9984667,0.0001963975,0.0007071816,0.0001032829,0.0002733153,0.0002532207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005114119,0.00003183129,0.9960299,0.00001594622,0.00008556297,0.0001965269,0.00006230718,0.00007990557,0.0009901733,0.00001312716,0.00008525142,0.001897967],"study_design_scores_gemma":[0.00001863854,0.0003303335,0.9978991,0.000006932824,0.00004749116,0.001110419,0.00004721064,0.0001859984,0.0001764312,0.00001410629,0.0001594925,0.000003777087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994099,0.0001681706,0.00006531527,0.00000717821,0.000002005421,0.00001221518,0.000149233,0.000002919833,0.0001830483],"genre_scores_gemma":[0.9991083,0.00005155214,0.0002351616,0.000005287116,0.000005446973,0.00001324627,0.0005041933,0.000002097393,0.00007464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0028304,"threshold_uncertainty_score":0.007659912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02140263696428637,"score_gpt":0.2719833834323778,"score_spread":0.2505807464680915,"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."}}