{"id":"W1995406162","doi":"10.1038/sj.jcbfm.9600398","title":"When Perfusion Meets Diffusion: <i>in vivo</i> Measurement of Water Permeability in Human Brain","year":2006,"lang":"en","type":"article","venue":"Journal of Cerebral Blood Flow & Metabolism","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute","funders":"National Center for Research Resources; National Institute of Neurological Disorders and Stroke","keywords":"Vascular permeability; Nuclear magnetic resonance; In vivo; Perfusion; Permeability (electromagnetism); Magnetic resonance imaging; Biomedical engineering; Chemistry; Brain tissue; Materials science; Nuclear medicine; Medicine; Pathology; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00281782,0.0003229251,0.001292959,0.0005534185,0.00005562688,0.00002386281,0.0003017477,0.0001996386,0.001640826],"category_scores_gemma":[0.0001445156,0.0002239636,0.0004343186,0.0002615408,0.0001130221,0.000267127,0.0001103916,0.0006280716,0.00000375429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002244669,"about_ca_system_score_gemma":0.0001821897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008474815,"about_ca_topic_score_gemma":0.0009532758,"domain_scores_codex":[0.9953217,0.0003387999,0.001794842,0.0003469918,0.00168677,0.0005109188],"domain_scores_gemma":[0.9982677,0.00007943315,0.000446825,0.0004599536,0.0005476426,0.0001984906],"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":[0.0003955191,0.00291856,0.1449676,0.0002276983,0.00008497347,0.0001591892,0.001483787,0.0001859311,0.8389039,0.0001170317,0.008982782,0.001573062],"study_design_scores_gemma":[0.01597668,0.0005372462,0.3644104,0.001020115,0.000623006,0.0002076083,0.0001353399,0.0001192781,0.5885133,0.00195942,0.02614842,0.000349112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829782,0.002967448,0.00001629504,0.01197463,0.0005169092,0.0004455284,0.00001093912,0.00001139524,0.001078715],"genre_scores_gemma":[0.9960455,0.000213835,0.002058526,0.0004947104,0.0009599814,0.00001413002,0.000003955201,0.00004080913,0.0001685268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2503906,"threshold_uncertainty_score":0.9992718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419710845504949,"score_gpt":0.2486391810866695,"score_spread":0.23444207263162,"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."}}