Flower Bud Abscission Reduced in Hibiscus Sabdariffa by Radiation from GSM Mast
Bibliographic record
Abstract
Radiation from GSM mast is regarded as a harmless but has recently generated a lot of controversies on its bio safety. Roselle naturally has about 50 % flower bud abscission rate, however, this research work is aimed at investigating the influence of radiation from 900 MHz GSM mast on the rate of flower bud production and abscission in Hibiscus sabdariffa. The plants exposed to the mast radiation generally produced significantly lower number of flower buds per plant (ranging from 80.00±9.62 to 106.80±8.17) than the control plants (107.80±15.21). Exceptions were found in locations A 100 m, 400 m and location B 100 m where the values were slightly higher (129.20±34.97, 138.40±19.50 and 118.80±15.80 buds / plant respectively). Abscission in control plants was 55.6 % per plant while in the exposed plants, a range of 40.33 to 48.21 % were obtained. Weak correlations exist between EMF intensities and abscission rate. The significant (p ? 0.05) reductions obtained in flower bud abscission in Hibiscus sabdariffa due to radiation from the GSM mast creates ecological stability for the plant whereby it enhances fruit formation and therefore increases the yield of the plant. If properly harnessed the radiation may play useful roles in the generation of variability and also in plant improvement.
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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) | 0.001 | 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".