{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004202806,0.0009426644,0.0009480778,0.0002928929,0.0002764334,0.00107471,0.001128565,0.0004753045,0.0001119406],"category_scores_gemma":[0.00663323,0.0007355902,0.000822299,0.0002892651,0.0003724096,0.0002221908,0.002350778,0.001571412,0.0004595264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001926604,"about_ca_system_score_gemma":0.0002653648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003386413,"about_ca_topic_score_gemma":0.0000248443,"domain_scores_codex":[0.9933559,0.0002705303,0.001241569,0.00301033,0.001222123,0.0008995433],"domain_scores_gemma":[0.9974798,0.0006331035,0.0003806076,0.0009924768,0.0002320132,0.0002819832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01004982,0.01046661,0.9756128,0.0002425015,0.0002210023,0.0003500107,0.0006941023,0.000119898,0.001063358,0.0001973368,0.0003320768,0.0006504327],"study_design_scores_gemma":[0.04763613,0.007739394,0.9293804,0.00005423047,0.0001147669,0.00003002289,0.0001121204,0.001513707,0.001057073,0.008619633,0.002256118,0.001486406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700753,0.00003048854,0.0001827445,0.0002916833,0.009867216,0.01321022,0.004963913,0.0006349389,0.0007435073],"genre_scores_gemma":[0.9921871,0.000008203806,0.0001362615,0.0004950653,0.0004707217,0.004711185,0.00008103494,0.0001758016,0.001734658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04623245,"threshold_uncertainty_score":0.9999623,"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."}}