{"id":"W4400814989","doi":"10.3233/jnd-230139","title":"Changes in Physiopathological Markers in Myotonic Dystrophy Type 1 Skeletal Muscle: A 3-Year Follow-up Study","year":2024,"lang":"en","type":"article","venue":"Journal of Neuromuscular Diseases","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre for Interdisciplinary Research in Rehabilitation; Université de Sherbrooke; University of Ottawa; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université du Québec à Trois-Rivières; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Myotonic dystrophy; Skeletal muscle; Atrophy; Internal medicine; Muscle hypertrophy; Sarcopenia; Endocrinology; Wasting; Biology; Medicine","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":[0.001328533,0.0007545344,0.001174735,0.001172622,0.001259476,0.0007554067,0.0005418243,0.00117596,0.001201341],"category_scores_gemma":[0.001414117,0.0003193034,0.001256148,0.0009135281,0.0004092582,0.0008136914,0.0007048845,0.001035728,0.0005816832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006943683,"about_ca_system_score_gemma":0.000413791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008535295,"about_ca_topic_score_gemma":0.007176733,"domain_scores_codex":[0.9994434,0.00009569451,0.00004501854,0.0001446978,0.0001145133,0.0001567293],"domain_scores_gemma":[0.9984158,0.0001434231,0.0004233026,0.0001298028,0.0004273629,0.0004602314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001662503,0.0008876943,0.9872043,0.00002636409,0.0002600101,0.0008105494,0.0004670318,0.0001282794,0.001455976,0.0000124152,0.000235464,0.006849467],"study_design_scores_gemma":[0.00002376648,0.001281743,0.9976509,0.000007460633,0.0001060856,0.0002624124,0.0001753034,0.0001081531,0.0001262538,0.00001301462,0.0002338922,0.00001098293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986649,0.000419815,0.0001484182,0.00003983415,0.000012842,0.00003042747,0.0002894302,0.0000108373,0.0003834344],"genre_scores_gemma":[0.9977596,0.0001661006,0.0001157645,0.00006169664,0.00002016144,0.00003611585,0.001043731,0.00000509754,0.00079163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008535295,"threshold_uncertainty_score":0.01697123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02656738517595169,"score_gpt":0.2829259751902553,"score_spread":0.2563585900143036,"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."}}