{"id":"W4413140371","doi":"10.1172/jci.insight.195836","title":"Differential pathology and susceptibility to MBNL loss across muscles in myotonic dystrophy mouse models","year":2025,"lang":"en","type":"article","venue":"JCI Insight","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Genetics","funders":"National Institute of Neurological Disorders and Stroke; Myotonic Dystrophy Foundation","keywords":"Myotonic dystrophy; Muscular dystrophy; Medicine; Myotonia; Differential (mechanical device); Biology; Pathology; Anatomy; Neuroscience; Internal medicine; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.00005912918,0.0002263472,0.0002800093,0.0001431886,0.0001496956,0.00009027717,0.0002946269,0.0000860875,0.00003500416],"category_scores_gemma":[0.0002806141,0.0002071495,0.00005941657,0.000366137,0.0002685518,0.0001241461,0.000420231,0.0001768336,0.00001812682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005362454,"about_ca_system_score_gemma":0.00006267557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002549146,"about_ca_topic_score_gemma":0.0002853939,"domain_scores_codex":[0.9978667,0.000303381,0.0002999229,0.0009069541,0.0001833575,0.0004396845],"domain_scores_gemma":[0.9991274,0.0001383306,0.00004450474,0.0005096666,0.0000447215,0.0001353986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001043077,0.0002913043,0.005934992,0.00003360812,0.000002322289,0.0001083394,0.0009382996,0.001040722,0.9887735,0.001898965,0.00006662189,0.000806988],"study_design_scores_gemma":[0.0007457873,0.0001258612,0.06672803,0.00001496125,0.000007592319,0.000005039144,0.00005873086,0.001324115,0.9284295,0.002116781,0.0002338168,0.0002098124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973726,0.00005786327,0.00091093,0.0003611445,0.000277806,0.0005097631,0.00009992152,0.0000575604,0.000352387],"genre_scores_gemma":[0.9981594,0.00005405672,0.00009558316,0.001113085,0.0000294593,0.00008383138,0.000002958207,0.00001767675,0.0004439648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06079303,"threshold_uncertainty_score":0.8447312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02754495764412883,"score_gpt":0.292771535483874,"score_spread":0.2652265778397451,"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."}}