{"id":"W2113105798","doi":"10.2522/ptj.20140234","title":"Longitudinal Evaluation of Muscle Composition Using Magnetic Resonance in 4 Boys With Duchenne Muscular Dystrophy: Case Series","year":2015,"lang":"en","type":"article","venue":"Physical Therapy","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases","keywords":"Duchenne muscular dystrophy; Muscular dystrophy; Magnetic resonance imaging; Series (stratigraphy); Medicine; Composition (language); Physical medicine and rehabilitation; Internal medicine; Biology; Radiology","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":[0.000170785,0.0001107263,0.0001442308,0.0000235055,0.00003314856,0.000005390139,0.00005915786,0.00004924667,0.000005601941],"category_scores_gemma":[0.00001185824,0.00009318361,0.00004304079,0.0001046309,0.0001288561,0.00001127457,0.00001866893,0.0000566907,9.349345e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001669802,"about_ca_system_score_gemma":0.00007031902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001213999,"about_ca_topic_score_gemma":0.00003090728,"domain_scores_codex":[0.9992107,0.0001624518,0.0001056288,0.0002254705,0.0001599613,0.0001357476],"domain_scores_gemma":[0.9995401,0.000006210685,0.00004973687,0.0002042227,0.0001577864,0.00004196142],"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":[0.001737459,0.0005259294,0.003332512,0.00001267696,0.00002811474,0.00003105728,0.0003043377,0.009043535,0.9720754,0.000158433,0.00001527596,0.01273524],"study_design_scores_gemma":[0.02789873,0.0150831,0.2910544,0.0001641726,0.0002531887,0.0006274096,0.001622148,0.06149007,0.5846673,0.01418489,0.001313407,0.001641191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980617,0.001459242,0.0001346915,0.00003163291,0.0000254901,0.0002058058,0.000006307338,0.00000454951,0.00007054178],"genre_scores_gemma":[0.9994183,0.00004104548,0.0003504918,0.00002607992,0.00009213638,0.00002479681,0.00003283149,0.00001150011,0.000002875759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3874082,"threshold_uncertainty_score":0.3799917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04580556083774321,"score_gpt":0.3073128750881586,"score_spread":0.2615073142504154,"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."}}