Two‐channel fiber microcavity strain sensor based on fiber loop ring‐down spectroscopy technology
Bibliographic record
Abstract
Abstract In this article, a two‐channel fiber microcavity strain sensor based on fiber loop ring‐down spectroscopy technology is proposed and implemented. This fiber loop ring‐down strain sensor uses time division multiplexing technique, which involves two fiber loops. These two fiber‐loop resonators share a same pulsed laser source and a same photodetector. The microcavity is directly inscribed in a segment of 1060 nm single mode fiber through high‐frequency CO 2 laser pulses illumination. As a sensor unit, the two fiber microcavities accessible to the fiber‐loop resonators are pasted onto the upper and lower surface of a cantilever beam to realize the strain sensing by measuring the ring‐down time of the pulse laser. © 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 54:1305–1309, 2012; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26800
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 teacher head, 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".