{"id":"W4399434079","doi":"10.1002/mds.29876","title":"Digital Gait Outcomes for Autosomal Recessive Spastic Ataxia of Charlevoix‐Saguenay ( <scp>ARSACS)</scp> : Discriminative, Convergent, and Ecological Validity in a Multicenter Study ( <scp>PROSPAX</scp> )","year":2024,"lang":"en","type":"article","venue":"Movement Disorders","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université de Sherbrooke","funders":"Medizinischen Fakultät, Eberhard Karls Universität Tübingen; Else Kröner-Fresenius-Stiftung; Ministero della Salute; Deutsche Forschungsgemeinschaft","keywords":"Gait; Physical medicine and rehabilitation; Convergent validity; Rating scale; Medicine; Discriminant validity; Ataxia; Physical therapy; Psychology; Psychometrics; Psychiatry; Clinical psychology; Developmental psychology","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":[0.001753436,0.0007330145,0.0006618744,0.001207866,0.0004820061,0.0005969071,0.0003411552,0.0004017647,0.0008571175],"category_scores_gemma":[0.002305166,0.0001370452,0.0004555453,0.000833347,0.0005191368,0.0002961959,0.0005883552,0.0002050941,0.000106548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006785599,"about_ca_system_score_gemma":0.0004828585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01103159,"about_ca_topic_score_gemma":0.01564333,"domain_scores_codex":[0.9990864,0.0003907859,0.0001197315,0.0002223662,0.0001148586,0.00006599534],"domain_scores_gemma":[0.9978308,0.0003538378,0.0009977003,0.0001098292,0.0004592346,0.000248466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005424686,0.00008575674,0.9966884,0.00002474455,0.0001519703,0.00008579625,0.0000771764,0.00006732286,0.0002870187,0.000018489,0.00005455237,0.001916309],"study_design_scores_gemma":[0.00004415823,0.0006355419,0.9985885,0.00001131521,0.00004945403,0.0001667007,0.000133342,0.000157542,0.0001101217,0.00001502665,0.00008476542,0.000003548476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996141,0.00009202009,0.0000316234,0.00000789254,0.000001684746,0.00001292979,0.0001244598,0.000001548869,0.0001137858],"genre_scores_gemma":[0.9995224,0.00002761308,0.00008068798,0.000007707694,0.000002784721,0.00001617709,0.0002931851,6.18215e-7,0.00004881727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9889684,"threshold_uncertainty_score":0.02193475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03627238803173749,"score_gpt":0.2906556857007129,"score_spread":0.2543832976689754,"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."}}