MHD internal transport barrier triggering in low positive magnetic shear scenarios in JET
Bibliographic record
Abstract
Internal transport barriers (ITBs) can be produced in JET by the application of strong additional heating during the current rise of plasma discharges. These `so-called' optimized shear experiments with low positive magnetic shear have revealed a strong dependence between the formation of the barrier and the integer q magnetic surfaces (q = 2 or q = 3). Further analysis also shows a correlation between the emergence of the ITB and the edge external MHD activity which is triggered when an integer q surface occurs at the edge of a strongly heated plasma (q = 4, q = 5 or q = 6). Mode coupling is the prime candidate to explain the link between the internal integer flux surfaces, where the ITB is triggered, and the plasma edge. Modelling of the MHD behaviour confirms the possibility of such a mechanism. Once coupled, this destabilized mode is thought to enhance locally the E×B shearing rate, either by magnetic braking or by the radial transport losses resulting from the modification of the field line topology. This could then trigger an ITB inside the internal integer surface at q = 2 or q = 3.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".