Comparison of two and three-dimensional finite element models of large air-gap open-concept magnetic resonance imaging magnet
Bibliographic record
Abstract
Large air-gap C magnets have been proposed for open-concept magnetic resonance imaging (MRI) purposes. The analysis and design of such systems usually involves the use of a finite element model. However, the development of a three-dimensional (3D) model of even this simple structure is time consuming, both in terms of human effort as well as computational resources. An attractive alternative is to use a suitably designed two-dimensional (2D) model with the caveat that it does not simplify the basic problem out of existence. The purpose of this article is to compare 2D (approximate) and 3D (exact) models of a MRI magnet system with a view of developing a method that simplifies the analysis without sacrificing the integrity of the results thus obtained. The 2D approximate models are particularly useful when determining global system characteristics, e.g., the ampere-turn required for a given air-gap flux.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".