{"id":"W4386465574","doi":"10.3233/jnd-221645","title":"Towards the Identification of Biomarkers for Muscle Function Improvement in Myotonic Dystrophy Type 1","year":2023,"lang":"en","type":"review","venue":"Journal of Neuromuscular Diseases","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université du Québec à Chicoutimi","funders":"","keywords":"Myogenesis; Muscle hypertrophy; ITGA7; Myotonic dystrophy; Skeletal muscle; Myosin; Proteome; Insulin receptor; Biology; Muscular dystrophy; Muscle atrophy; Duchenne muscular dystrophy; Internal medicine; Endocrinology; Myocyte; Sarcopenia; Medicine; Cell biology; Insulin; Bioinformatics; Insulin resistance","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":[0.001218262,0.0009646289,0.001581386,0.00298716,0.0003071282,0.001315953,0.0004856092,0.0008584085,0.001464699],"category_scores_gemma":[0.001435488,0.0002158988,0.001004269,0.003023364,0.000252185,0.0006769148,0.0005820076,0.000664115,0.0007630996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004595938,"about_ca_system_score_gemma":0.0006739734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005559116,"about_ca_topic_score_gemma":0.0007987067,"domain_scores_codex":[0.9996533,0.00006842255,0.00004142244,0.0001055731,0.0000894282,0.00004185819],"domain_scores_gemma":[0.9991148,0.0002341874,0.0003786695,0.00002723484,0.0001865558,0.00005858611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003597428,0.0009052419,0.3704068,0.01227271,0.002091252,0.001572321,0.0003669854,0.002195925,0.246959,0.0008864373,0.008323379,0.3504225],"study_design_scores_gemma":[0.0002642063,0.003711888,0.827035,0.00254832,0.004939617,0.00478183,0.0008885741,0.01420636,0.0865953,0.003772476,0.05108602,0.0001703276],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7792842,0.184792,0.01605013,0.003206004,0.0003935283,0.0002505863,0.01176958,0.0006353466,0.00361862],"genre_scores_gemma":[0.8816048,0.0556133,0.04232724,0.002157266,0.0005348271,0.0004010092,0.01510215,0.00007892643,0.002180458],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00298716,"threshold_uncertainty_score":0.006442845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08967714799038122,"score_gpt":0.3402821676628203,"score_spread":0.2506050196724391,"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."}}