Bibliographic record
Abstract
A novel electro-optic hybrid instrument for methane concentration measurements is presented. Compared with conventional fiber optic instruments for methane concentration using infrared absorption in the 1.3 mum and 1.66 mum bands, this instrument overcomes the spectral limitations of optical fibers allowing for the absorption measurements in the 3.3 mum band. Since 3.3 mum is the wavelength corresponding one of the two fundamental frequencies of the methane infrared spectrum, the absorption in this band is significant and consequently the sensorpsilas sensitivity is higher. Furthermore using the higher wavelength decreases the scattering factor so that the influence of the hard impurities in the atmosphere is decreased also. Since the application of the sensor is expected to be in the hazardous and explosive atmospheres some investigations to define the maximum optical power level were performed. Due to the relatively low power level allowed for the explosion safety some special low power consumption algorithms of the signal processing were implemented. Owing to these algorithms the need of ADC and microcomputer is discarded in the remote module. Thus power consumption of the remote module is minimized allowing for the use of cost effective components for optical powering and providing the explosion safety in hazardous areas.
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.
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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".