Potential effect of microwaved vermicast on dahlia plant growth and flower production
Bibliographic record
Abstract
Enhancement of natural growing medium amendments with microwave irradiation has been demonstrated but has received less research attention. A greenhouse experiment was carried out to determine the effect of microwaved vermicast on dahlia (Dahlia pinnata ‘Cobequid Celestial Star’) plant growth and flower production. Fresh, moist vermicast was treated with microwave irradiation power levels 100 W, 200 W, 400 W and 800 W with non-microwaved vermicast as the control (0 W). The temperature of the microwaved vermicast increased from 35oC at 100 W to 80oC at 400 W, but dropped to 70oC at 800 W. The density of bacteria colonies was high in treatments 0 W, 100 W and 200 W, and the least in treatment 400 W while treatment 800 W did not support bacteria growth. Total nitrogen content did not change much but leaf tissue phosphate content increased from 0.70% (100 W) to 0.83% (800 W). Leaf tissue chlorophyll content was increased by treatment 400 W followed by the FV while anthocyanin content consistently increased with an increase in power output level. Microwave irradiation increased total plant and tuberous roots fresh weights. Those treatments ≥200 W had the greatest positive impact on total number of floral organs and longevity of flowers as compared to the 0 W and the 100 W treatments. Overall, it was demonstrated that microwave irradiation at 400 W improve vermicast chemical properties and enhance dahlia plant growth and flower production. Further study on microbial structure will be necessary.
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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".