{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001192281,0.0009267761,0.0006655189,0.0005715634,0.0006733991,0.0006244694,0.001736936,0.0002126314,0.00005460007],"category_scores_gemma":[0.006899287,0.0007466697,0.0004233965,0.001320672,0.0005789328,0.001002641,0.0003370031,0.00086456,0.0001626438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001695299,"about_ca_system_score_gemma":0.0001540096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002050083,"about_ca_topic_score_gemma":0.0003245797,"domain_scores_codex":[0.9922244,0.0009113796,0.001308391,0.002361533,0.00170223,0.001492064],"domain_scores_gemma":[0.9913482,0.006051967,0.0006212918,0.001463234,0.0001807496,0.0003345543],"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":[0.0002606468,0.0192371,0.3636743,0.001885773,0.0006848589,0.0003608141,0.02383016,0.05558484,0.3844479,0.00338915,0.134042,0.0126024],"study_design_scores_gemma":[0.00677106,0.003553191,0.2107695,0.000357692,0.0004894813,0.000001813974,0.01909079,0.6669676,0.06419428,0.0133235,0.01405711,0.0004239138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754079,0.0002474659,0.0113488,0.002348897,0.001771863,0.006417197,0.0005147762,0.0005628724,0.001380223],"genre_scores_gemma":[0.9895967,0.00006982793,0.00005942578,0.007022266,0.0001558261,0.0014366,0.0001065446,0.000198717,0.001354142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6113828,"threshold_uncertainty_score":0.9994984,"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."}}