{"id":"W2803340198","doi":"10.1007/s00415-018-8898-4","title":"A 9-year follow-up study of quantitative muscle strength changes in myotonic dystrophy type 1","year":2018,"lang":"en","type":"article","venue":"Journal of Neurology","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi; Université Laval; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Centre for Interdisciplinary Research in Rehabilitation; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Réseau Provincial de Recherche en Adaptation-Réadaptation; Muscular Dystrophy Canada","keywords":"Myotonic dystrophy; Neurology; Neuroradiology; Medicine; Muscle strength; Muscular dystrophy; Physical medicine and rehabilitation; Pediatrics; Internal medicine; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001039754,0.0006197008,0.0009650173,0.001224997,0.001631778,0.0007977997,0.0005439417,0.001238355,0.00115455],"category_scores_gemma":[0.001959427,0.0003755648,0.0009501486,0.0009290587,0.0003990903,0.001036829,0.0007881325,0.001199458,0.0006407016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007042121,"about_ca_system_score_gemma":0.0003936219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01159557,"about_ca_topic_score_gemma":0.00971803,"domain_scores_codex":[0.9994704,0.00011314,0.00005564598,0.0001392041,0.00007045805,0.000151244],"domain_scores_gemma":[0.9986272,0.0001707157,0.0003052003,0.000117423,0.0003455551,0.0004338533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002965602,0.001651389,0.9826864,0.00002705453,0.0002283311,0.00235726,0.0006328981,0.0001204765,0.002692078,0.00002400348,0.0002420777,0.006372454],"study_design_scores_gemma":[0.00002976759,0.001445835,0.9971967,0.000004885587,0.00007196298,0.0005098615,0.0002766587,0.00009046301,0.000119641,0.00001554064,0.0002269246,0.00001179371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992102,0.000184865,0.00006640045,0.0000432633,0.00001130702,0.00001496522,0.0001880272,0.000004743089,0.0002760623],"genre_scores_gemma":[0.9984597,0.00008186836,0.00006146944,0.00004372558,0.00001307186,0.00001779934,0.0005722854,0.000002847954,0.0007471669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01159557,"threshold_uncertainty_score":0.02305615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05611948991424338,"score_gpt":0.3197200909397999,"score_spread":0.2636006010255565,"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."}}