The significance of microwaves in the environment and its effect on plants
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Wireless technologies are becoming popular due to convenient lower implementation costs and operational costs compared with wired technologies. Various wireless internet and communication technologies, such as worldwide interoperability for microwave access (WiMAX) and long-term evolution (LTE), are expanding rapidly. As with mobile phones, all of these technologies operate using high-frequency electromagnetic waves in the microwave category (3 × 10 2 – 3 × 10 6 MHz). An increasing number of operators within a geographical area is resulting in high microwave densities in the environment. At the same time, wireless technologies are now utilizing radio frequency electromagnetic radiation of up to 5500 MHz, and frequency spectrum allocation tables indicate that countries have allocated additional high frequencies for broadcasting purposes. Scientists have widely investigated the effects of microwaves on humans and animals, and some findings confirm that such effects exist. In comparison, a very limited number of published studies have addressed the effects of microwaves on plants. The findings of these studies indicate that the effects of microwaves on plants depend on the plant family and growth stage involved as well as the exposure duration, frequency, and power density, among other factors. However, the number of published studies is not yet sufficient to support drawing strong conclusions regarding the effects of microwaves on whole plant communities. Therefore, further studies are necessary to support present findings and uncover new findings.
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.
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) | 0.000 | 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 it