Birefringent Porous Glass Fiber-Optic Sensor as a Low-Cost End-of-Service-Life Indicator (ESLI) for Organic Vapor Respiratory Cartridges
Bibliographic record
Abstract
Birefringent porous glass integrated between two plastic optical fibers terminated by crossed Polaroid™ films was used as a low-cost end-of-service-life indicator (ESLI) for organic vapor cartridges. Birefringence is significantly reduced when volatile compounds condense into the anisotropic porous structure. Such changes could easily be quantified using a low-cost light source and detector and very simple light intensity analysis. We showed that such sensors integrated into an experimental organic vapor cartridge could easily detect the progression of low concentrations of solvents (such as 50 ppm of toluene) into the activated charcoal cartridge and thus truly be used as an ESLI. Since such robust sensors could detect broadband solvents by simple physical condensation similar to the trapping phenomena of activated carbon, they are probably ideal candidates for such application.
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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 | 0.000 | 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) | 0.000 | 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".