{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002301062,0.0003177636,0.0004705919,0.0006420934,0.00005760314,0.0001639225,0.0005057035,0.00004944931,0.0001184848],"category_scores_gemma":[0.001366613,0.0002567804,0.0003145075,0.001230607,0.0001255376,0.0002479516,0.0001601968,0.0004623159,0.00003270139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007713646,"about_ca_system_score_gemma":0.000213983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004446516,"about_ca_topic_score_gemma":0.00002654118,"domain_scores_codex":[0.9965004,0.001058915,0.0005439146,0.0006528141,0.0008107075,0.0004331935],"domain_scores_gemma":[0.9988815,0.0002877292,0.0001518352,0.0003421073,0.00008053379,0.0002563158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009294862,0.004012326,0.05154553,0.00023473,0.00004676669,0.03254606,0.0005560584,0.001537401,0.9022694,0.00008634313,0.0005665235,0.005669413],"study_design_scores_gemma":[0.002366576,0.003058365,0.9828283,0.0002105541,0.0001639661,0.0001160943,0.0004541503,0.0004199577,0.009153375,0.0002197451,0.0006379799,0.0003709651],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968812,0.001010017,0.000003842753,0.0002859679,0.001198407,0.0005082272,0.00003295854,0.00004220481,0.0000371405],"genre_scores_gemma":[0.9989861,0.0003634801,0.00001937804,0.0003165926,0.0001888766,0.00002757221,0.000001458477,0.00005150698,0.00004505375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9312828,"threshold_uncertainty_score":0.9999884,"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."}}