{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005954102,0.0003614875,0.0002877053,0.0002191027,0.000191853,0.000629638,0.0002539975,0.0009261249,0.0007952005],"category_scores_gemma":[0.001935913,0.0002458835,0.0001207461,0.0001592313,0.0008540237,0.001309641,0.0003396764,0.000398226,0.000268864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002488215,"about_ca_system_score_gemma":0.0002832159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001002977,"about_ca_topic_score_gemma":0.0009961763,"domain_scores_codex":[0.9998302,0.00006316021,0.000007910328,0.00005601755,0.00002051165,0.0000221254],"domain_scores_gemma":[0.9997655,0.0001024786,0.00006689651,0.00001911438,0.00002921639,0.00001686753],"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":[0.0005157531,0.00001858849,0.001526364,0.0001779884,0.00001746383,0.000358413,0.0001333975,0.001153306,0.9798627,0.0005188527,0.0001930663,0.015524],"study_design_scores_gemma":[0.00008021577,0.0009909015,0.02351486,0.00005178783,0.0001235624,0.00301633,0.0002786038,0.0334409,0.9302159,0.003878264,0.004345757,0.00006295505],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8431676,0.002550934,0.1508151,0.0009493245,0.00008022857,0.00007946929,0.0001491986,0.0004707212,0.00173733],"genre_scores_gemma":[0.978524,0.001631078,0.01875599,0.0002167598,0.00003961213,0.00007916909,0.00008423457,0.00006104362,0.0006081192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001002977,"threshold_uncertainty_score":0.003148854,"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."}}