{"id":"W2077951355","doi":"10.1172/jci64081","title":"GSK3β mediates muscle pathology in myotonic dystrophy","year":2012,"lang":"en","type":"article","venue":"Journal of Clinical Investigation","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Institutes of Health; National Cancer Institute; National Heart, Lung, and Blood Institute; National Institute on Aging; Medical Center, University of Rochester","keywords":"Myotonic dystrophy; Myotonia; Skeletal muscle; Biology; Muscle weakness; Muscular dystrophy; Cell biology; Internal medicine; Endocrinology; Genetics; Biochemistry; Medicine","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":[0.0001589384,0.0005806911,0.0003624028,0.0002242123,0.0001963142,0.0002387306,0.0001582531,0.0002453933,0.00163215],"category_scores_gemma":[0.0001108467,0.0001908577,0.0002437389,0.0001342941,0.0002990219,0.0001168222,0.0002657239,0.0005177176,0.0005995639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003334933,"about_ca_system_score_gemma":0.0001685447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000374294,"about_ca_topic_score_gemma":0.000682117,"domain_scores_codex":[0.9999288,0.00001619537,0.000007380366,0.000014576,0.00001445196,0.00001854688],"domain_scores_gemma":[0.9999332,0.000006362969,0.00002829131,0.000005615868,0.000004139231,0.00002236327],"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":[0.0007017021,0.00009519328,0.001620178,0.0002110367,0.00004029062,0.0007064877,0.00003619344,0.000226302,0.9904694,0.0005080663,0.000525475,0.004859693],"study_design_scores_gemma":[0.0007900075,0.002201603,0.1125538,0.0001533003,0.0002105515,0.006850008,0.000163068,0.002506827,0.8560683,0.001796348,0.01667236,0.00003391537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795061,0.01378388,0.001576376,0.0004467184,0.0001136388,0.00004484505,0.0003602975,0.0002019158,0.003966237],"genre_scores_gemma":[0.9936455,0.004017065,0.0003165022,0.0001268177,0.00002685606,0.00003598789,0.0003196545,0.00001342421,0.001498089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00163215,"threshold_uncertainty_score":0.005460083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1313943470250856,"score_gpt":0.3866065895399515,"score_spread":0.255212242514866,"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."}}