{"id":"W2151395688","doi":"10.1002/mrm.21748","title":"Cellular‐interstitial water exchange and its effect on the determination of contrast agent concentration in vivo: Dynamic contrast‐enhanced MRI of human internal obturator muscle","year":2008,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Flip angle; Contrast (vision); TRACER; Chemistry; In vivo; Kinetics; Dynamic contrast-enhanced MRI; Nuclear medicine; Nuclear magnetic resonance; Analytical Chemistry (journal); Magnetic resonance imaging; Chromatography; Physics; Medicine; Radiology; 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":[0.00126641,0.000397605,0.0005828167,0.0002005038,0.0001680219,0.0005320713,0.000201604,0.0003402066,0.0004001303],"category_scores_gemma":[0.003727928,0.0002165717,0.0002380258,0.0001670548,0.0005403911,0.0004236781,0.0003606439,0.000261532,0.0001070311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002012469,"about_ca_system_score_gemma":0.0001634756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008258015,"about_ca_topic_score_gemma":0.0004562481,"domain_scores_codex":[0.999498,0.0002696756,0.00003066847,0.00008289669,0.00008192701,0.00003684262],"domain_scores_gemma":[0.9987842,0.0008729072,0.0001791771,0.0000922358,0.00004090368,0.00003051283],"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":[0.007061896,0.0001232318,0.1376069,0.000470702,0.0002569564,0.0009964888,0.001353953,0.01957688,0.7469314,0.0002440609,0.0000786626,0.08529886],"study_design_scores_gemma":[0.0001589768,0.00634518,0.31845,0.00006514489,0.0005540215,0.007726422,0.0007302887,0.07377881,0.5896728,0.0003383482,0.002087476,0.00009255442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941294,0.0008944293,0.00480554,0.00001573925,0.000002020984,0.000005527716,0.00001018687,0.00001300179,0.0001242029],"genre_scores_gemma":[0.9981993,0.0001776434,0.001545911,0.00000762222,0.000001978207,0.000007509718,0.00001676718,0.000007041412,0.00003629872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00126641,"threshold_uncertainty_score":0.006697476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01335309398448901,"score_gpt":0.2880685011110866,"score_spread":0.2747154071265975,"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."}}