High frequency GMI measurement of soft magnetic co-based ribbons
Bibliographic record
Abstract
In this paper, we present a method for extracting the magnetic parameters of soft magnetic Co-based alloy (Co68.25Fe4.5Si12.25B15) in the high frequency regime (10MHz-2GHz). The magnetic sample (as-cast ribbon) is used as the conductor of a microstrip transmission line. The real and imaginary parts of series impedance (Z) of the line obtained from input impedance measurements, and a theoretical model based on the distributed parameters and the skin effect is used to extract the bulk transversal relative permeability. The effect of changing the applied external DC magnetic field is reported and the results show that the real parts of Z and propagation constant (γ) are very sensitive to the applied DC magnetic field. The model considers the geometrical contribution of the transmission line on the series impedance of the magnetic conductor (Co-based ribbon). In this work, we assume a real permeability, however the model can be readily used for extracting a complex transversal relative permeability (μ′tr–jμ″tr).
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".