{"id":"W2052630208","doi":"10.1055/s-0030-1253167","title":"Biochemical and Physiological MR Imaging of Skeletal Muscle at 7 Tesla and Above","year":2010,"lang":"en","type":"review","venue":"Seminars in Musculoskeletal Radiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"National Center for Research Resources; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Radiological Society of North America","keywords":"Medicine; Ultra high frequency; Nuclear magnetic resonance; Magnetic resonance imaging; Skeletal muscle; Radiofrequency coil; Artifact (error); Magnetic resonance spectroscopic imaging; Biomedical engineering; Neuroscience; Radiology; Physics; Anatomy; Computer science; Telecommunications; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002337081,0.0004477749,0.001961011,0.0002070539,0.0000542046,0.000003773559,0.0001668205,0.00072701,0.00004313073],"category_scores_gemma":[0.0002210395,0.0003446149,0.0003219489,0.0002415746,0.001226491,0.00003453267,0.0002684899,0.001022503,0.000004250634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008763957,"about_ca_system_score_gemma":0.00006164009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005873707,"about_ca_topic_score_gemma":0.000001224825,"domain_scores_codex":[0.9979706,0.00008856098,0.0006664091,0.0007623504,0.0001070939,0.0004050276],"domain_scores_gemma":[0.9986747,0.0003400888,0.0003019016,0.000479082,0.00003895701,0.0001652857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009065763,0.0001066595,0.0001279655,0.003977657,0.00001983592,0.00003814959,0.00002147836,8.034398e-8,0.009568165,0.0007380662,0.0007616149,0.9846312],"study_design_scores_gemma":[0.0005585043,0.0003874327,0.001056864,0.004525425,0.0004799745,0.002078859,0.00002895297,0.00003750614,0.0001102617,0.0008653506,0.989333,0.0005378631],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02432752,0.9738199,0.0001242084,0.00009519121,0.00005519513,0.0009644168,0.00005396325,0.00005662206,0.0005029766],"genre_scores_gemma":[0.002417604,0.9859705,0.01077271,0.00005046253,0.0001541349,0.0002185622,0.0002254304,0.00005117953,0.0001394165],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9885714,"threshold_uncertainty_score":0.9999006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01900555002503677,"score_gpt":0.3525587307078445,"score_spread":0.3335531806828077,"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."}}