"Linear Induction Motors in Transport Systems"
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
"LoopMIT, the official hyperloop team from MIT, Manipal, has developed a prototype whose documentation was submitted for European Hyperloop Week, the Canadian Hyperloop Competition, and the Global Hyperloop Competition. The levitation and propulsion team at LoopMIT has developed a LIM (Linear induction motor). Using a LIM in a hyperloop system which ensures contactless, efficient operation along with precise thrust generation which enables controlled pod movement and making it highly suitable for highspeed transport. In this paper, the Levitation and propulsion team at LoopMIT is presenting their design for pod propulsion. The team will discuss the process of designing, simulating, and manufacturing their linear induction motor. After which, they conducted rigorous testing to ensure its performance and reliability. The aim was to create a design that would effectively propel a pod of 120kgs on a 10meter Ibeamshaped track."
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.005 | 0.000 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.001 | 0.008 |
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 it