<title>Optoelectronic biosensor for remote monitoring of toxins</title>
Bibliographic record
Abstract
12 A biosensor telemetry system for the on-line remote monitoring of toxic sites is described in this paper. The device is a self-contained field measurement system that employs immobilized luminescent. Vibrio fisheri bacteria to detect airborne contaminants. The presence of toxic chemicals in the air will lead to a measurable decrease in the intensity of light produced by the bacteria population. Both cellular and environmental factors control the level of bioluminescence exhibited by the bacteria. The biological sensing element is placed inside a miniature airflow chamber that houses a light-to-frequency transducer, power supply, and Radio-Frequency (RF) transmitter to convert the intensity of bioluminescence exhibited by the bacteria population into a radio signal that is picked up by a RF receiver at a safe location. The miniature biosensor can be transported to the investigated on either a terrestrial or airborne robotic vehicle. Furthermore, numerous spatially distributed biosensors can be used to both map the extent and the rate-of-change in the dispersion of the hazardous contaminants over a large geographical area.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.060 | 0.033 |
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".