{"id":"W2058502442","doi":"10.1118/1.2031013","title":"Po‐Poster ‐ 34: Diffusion tensor imaging in the human calf muscle as a measure of the muscle disorder","year":2005,"lang":"en","type":"article","venue":"Medical Physics","topic":"Sports injuries and prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Joseph’s Healthcare Hamilton","funders":"","keywords":"Diffusion MRI; Anisotropy; Fractional anisotropy; Diffusion; Tensor (intrinsic definition); Skeletal muscle; Medicine; Anisotropic diffusion; Muscle tissue; Effective diffusion coefficient; Tractography; Anatomy; Magnetic resonance imaging; Biomedical engineering; Nuclear magnetic resonance; Physics; Radiology; Mathematics; Geometry; Optics","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":[0.0003526892,0.000266858,0.0001896494,0.0008098492,0.0002480257,0.0005103486,0.0001653949,0.0003831133,0.005433881],"category_scores_gemma":[0.0007862296,0.00009256366,0.0001604724,0.0004748059,0.0002242788,0.0002710861,0.0003401568,0.0001994614,0.0007390167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002179848,"about_ca_system_score_gemma":0.0002588145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002394577,"about_ca_topic_score_gemma":0.002795195,"domain_scores_codex":[0.9999003,0.00002045686,0.0000102647,0.00002304326,0.00002836898,0.0000175432],"domain_scores_gemma":[0.9997174,0.00006232263,0.00004718215,0.00002081722,0.00009048556,0.000061791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002742674,0.0004356228,0.1377841,0.001043304,0.0002302215,0.002777143,0.0008874572,0.001747596,0.7095208,0.0009272238,0.00473742,0.1371664],"study_design_scores_gemma":[0.0001208274,0.002409221,0.8293428,0.0001317601,0.0002786769,0.0120375,0.0006130924,0.008079983,0.1360679,0.00106046,0.009785493,0.00007244507],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864703,0.002437779,0.006072391,0.0003738639,0.00006246428,0.00006667016,0.000569682,0.00006752034,0.003879418],"genre_scores_gemma":[0.9912873,0.0009119515,0.003853694,0.00007662952,0.0000426925,0.00003146975,0.0003979762,0.00002294546,0.003375471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005433881,"threshold_uncertainty_score":0.01817816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096556626665936,"score_gpt":0.2804914310857959,"score_spread":0.2695258648191366,"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."}}