{"id":"W4390691335","doi":"10.1101/2024.01.09.24301064","title":"Towards patient-relevant, trial-ready digital motor outcomes for SPG7: a cross-sectional prospective multi-center study (PROSPAX)","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Hereditary Neurological Disorders","field":"Neuroscience","cited_by":4,"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":"Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi; International Max Planck Research School for Advanced Methods in Process and Systems Engineering; Servier; Radboud Universitair Medisch Centrum; Ministero della Salute; Else Kröner-Fresenius-Stiftung; Bundesministerium für Bildung und Forschung; Hersenstichting; Eberhard Karls Universität Tübingen; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; Radboud Universiteit; Ionis Pharmaceuticals; ZonMw; International Max Planck Research School for Environmental, Cellular and Molecular Microbiology; Deutsche Forschungsgemeinschaft; Eli Lilly and Company","keywords":"Physical medicine and rehabilitation; Gait; Medicine; STRIDE; Physical therapy","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":[0.02097419,0.000836944,0.001149315,0.0008352144,0.00110714,0.001276963,0.0006873764,0.00135825,0.002599692],"category_scores_gemma":[0.01540458,0.0005028404,0.001540945,0.001209839,0.0009347256,0.00136182,0.001537732,0.0007903166,0.0008851835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004677465,"about_ca_system_score_gemma":0.00127288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007211157,"about_ca_topic_score_gemma":0.001311461,"domain_scores_codex":[0.9863304,0.009793385,0.001484947,0.001365703,0.0006633624,0.0003622236],"domain_scores_gemma":[0.9820724,0.005549301,0.005599464,0.002498615,0.002850078,0.001430179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03730199,0.002306555,0.9374547,0.001482655,0.003342548,0.0001631231,0.0006272509,0.0003058674,0.001982702,0.0002948624,0.001443772,0.01329399],"study_design_scores_gemma":[0.009487755,0.03437062,0.9477013,0.0003426626,0.002351046,0.0004079424,0.0005059209,0.0005366082,0.001118484,0.0003473754,0.002779706,0.00005061482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922417,0.001446544,0.001554856,0.000162995,0.00004746637,0.002013149,0.001864783,0.00002075397,0.0006477862],"genre_scores_gemma":[0.9910249,0.0002374519,0.002563402,0.000308455,0.00006833711,0.003021424,0.002545982,0.00001266447,0.0002174709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02097419,"threshold_uncertainty_score":0.1109235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08788925221310602,"score_gpt":0.356966133653592,"score_spread":0.269076881440486,"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."}}