Erratum to Brown, et al. Effect of Blood Flow on Double Inversion Recovery Vessel Wall MRI of the Peripheral Arteries: Quantitation with T2 Mapping and Comparison with Flow‐Insensitive T2‐Prepared Inversion Recovery Imaging. Magn Reson Med 2010;63:736–744
Bibliographic record
Abstract
T2 for partially affected pixels was not reported. Corresponding statements in the Materials and Methods and Results sections should be disregarded. The discussion on partial volume effects in the first paragraph on page 742 should refer to Figure 4, not Figure 2. Table 1 reported peak blood velocity, not average blood velocity as stated in the caption. The sixth row of Figure 5 showed partial wall content maps, not partial blood content maps as stated in the caption. The following references were incorrectly formatted in the manuscript and have been corrected here: Reference 17. Liu C-Y, Wieben O, Brittain JH, Reeder SB. Flow-independent T2-prepared inversion recovery black blood MR imaging. In: Proceedings of the 16th Annual Meeting of ISMRM, Toronto, Ontario, Canada, 2008. p. 3079. Reference 26. Wang J, Yarnykh VL, Chu B, Yuan C. Improved motion-sensitized driven equilibrium (iMSDE) blood-suppression sequence for atherosclerosis plaque imaging at 3T. In: Proceedings of the 16th Annual Meeting of ISMRM, Toronto, Ontario, Canada, 2008. p. 961. Reference 34. McRobbie DW, Moore EA, Graves MJ, Prince MR. MRI from picture to proton. Cambridge, UK: Cambridge University Press; 2003. p. 135-163. Reference 37. Mugler J, H M, B K. Practical implementation of optimized tissue-specific prescribed signal evolutions for improved turbo-spin-echo imaging. In: Proceedings of the 11th Annual Meeting ISMRM, Toronto, Ontario, Canada, 2003. p. 203. Reference 39. Nguyen T, Kawaji K, Spincemaille P, Cham M, Winchester P, Prince M, Wang Y. 3D peripheral vessel wall MRI with flow-insensitive blood suppression and isotropic resolution at 3 tesla. In: Proceedings of the 21st Annual International Conference on Magnetic Resonance Angiography, East Lansing, Michigan, USA, 2009. p. 3.8. Reference 40. Zhao X, Cai J, Underhill H, Oikawa M, Dong L, Ota H, Hatsukami T, Yuan C. Minimization of MR contrast weightings for the comprehensive evaluation of carotid atherosclerotic disease. In: Proceedings of the 17th Annual Meeting of ISMRM, Honolulu, Hawaii, USA 2009. p. 602. Reference 44. Mitsouras D, Mulkern RV, Owens CD, Cai T, Whitmore AG, Ersoy H, Conte MS, Creager MA, Rybicki FJ. High-resolution T1- and T2-weighted black blood inner volume 3D fast spin echo imaging for characterizing vessel wall components in vivo. In: Proceedings of the 16th Annual Meeting of ISMRM, Toronto, Ontario, Canada, 2008. p. 958.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.026 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.015 | 0.015 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".