{"id":"W2032234501","doi":"10.1002/jmri.20651","title":"Diffusion tensor imaging in evaluation of human skeletal muscle injury","year":2006,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":213,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton","funders":"Johns Hopkins University","keywords":"Diffusion MRI; Fractional anisotropy; Effective diffusion coefficient; Skeletal muscle; Magnetic resonance imaging; Medicine; Nuclear magnetic resonance; Anatomy; Nuclear medicine; Biomedical engineering; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002095757,0.0006224529,0.0003642951,0.001560992,0.0001447833,0.0004916881,0.0003068861,0.0004697633,0.0007805664],"category_scores_gemma":[0.004567031,0.0001316024,0.0001923342,0.0005019703,0.000598448,0.0004972952,0.0003693801,0.0002681858,0.0003427776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002366418,"about_ca_system_score_gemma":0.0002476521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008626201,"about_ca_topic_score_gemma":0.001029889,"domain_scores_codex":[0.9994243,0.0002505061,0.00006945676,0.00009153267,0.0001266486,0.00003756593],"domain_scores_gemma":[0.9988703,0.0003079337,0.0003576791,0.00007976958,0.0002572858,0.0001269435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002685557,0.000194692,0.6111895,0.001078084,0.0004561715,0.002651373,0.0004975903,0.001961906,0.1203711,0.0005866028,0.001371604,0.2569559],"study_design_scores_gemma":[0.0001504815,0.002384377,0.9211877,0.0002322795,0.0003207299,0.02816019,0.0004529842,0.01159791,0.02777596,0.001280339,0.006369802,0.0000873],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595091,0.02170059,0.01578824,0.0004213356,0.00007247244,0.000114005,0.0002256,0.0001735399,0.00199501],"genre_scores_gemma":[0.9808797,0.004811607,0.01341867,0.00007053142,0.000066418,0.0000571457,0.0002108004,0.0000195192,0.0004656403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002095757,"threshold_uncertainty_score":0.01108354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03270774088411862,"score_gpt":0.3580757512026797,"score_spread":0.3253680103185611,"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."}}