{"id":"W3089966755","doi":"10.1016/j.nmd.2020.08.171","title":"MUSCLE IMAGING – MRI","year":2020,"lang":"en","type":"article","venue":"Neuromuscular Disorders","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Muscle biopsy; Medicine; Limb-girdle muscular dystrophy; Context (archaeology); Muscular dystrophy; Differential diagnosis; Muscle disorder; Magnetic resonance imaging; Myology; Bioinformatics; Physical medicine and rehabilitation; Pathology; Radiology; Biopsy; Anatomy; Biology; Phenotype; Internal medicine; Gene; Genetics","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":[0.00005140191,0.0001906751,0.0001328638,0.0000234845,0.0001149125,0.00001842475,0.0002733074,0.00007639046,0.0001010324],"category_scores_gemma":[0.0001015486,0.000200471,0.000185378,0.000128476,0.0001140014,0.000006521735,0.0001407482,0.0001277463,0.00008174353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002381183,"about_ca_system_score_gemma":0.00003404383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001296002,"about_ca_topic_score_gemma":0.00001483309,"domain_scores_codex":[0.9988058,0.00008380597,0.0001508257,0.0005362062,0.0001186188,0.0003047503],"domain_scores_gemma":[0.9994333,0.000007777012,0.0000470161,0.0003328722,0.00002460495,0.000154376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002717314,0.0002113894,0.01762341,0.00007943364,0.0001048574,0.00001358451,0.0003297361,0.002287281,0.9074574,0.0003692005,0.03595154,0.03530049],"study_design_scores_gemma":[0.002620062,0.0006418676,0.07557371,0.000008184335,0.00006308212,0.000005835954,0.0006066729,0.002411978,0.01102205,0.0008242678,0.9052361,0.0009862466],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725772,0.001547974,0.006978156,0.009293914,0.0002678217,0.0003244732,0.00001167144,0.0001093222,0.008889438],"genre_scores_gemma":[0.9909061,0.0003627843,0.0001341153,0.008251874,0.0001573496,0.00002003563,0.00009004464,0.00004074312,0.00003697627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8964353,"threshold_uncertainty_score":0.8174971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005691340256522635,"score_gpt":0.209959360142916,"score_spread":0.2042680198863933,"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."}}