Enhancing on the Mineral Elements of Exposure to Magnetic Field in Plants Leave
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
The aim of this work was investigating the accumulation of the element's contents in plant leaves using magnetized and non-magnetized water for irrigation. Sunflower and tomato were irrigated using magnetized water conducted with magnetic field in the range of 250 mT and irrigate with normal water for comparison in an open land. The measurement of elements was performed using atomic absorption spectroscopy to identify the levels of Calcium, Iron, Potassium and Zinc in the leaves of the plants under survey. The results are evaluated using different statistical methods from data obtained to assess the levels of elements enhanced in these leaves. The leaf elements quantity in plants treatment with a magnetic field has a significant impact on plant yield and food quality.
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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 | 0.001 | 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