Effect of Fe Nanoparticles of Seeds with Commercial Importance in Guanajuato, Mexico
Bibliographic record
Abstract
The effect of Fe (FeO 2 ) nanoparticles on the percentage of germination and root elongation of carrot (Daucus carota), tomato (Solanum lycopersicum), broccoli (Brasica oloracea) and alfalfa (Medicago sativa) was investigated.The seeds were imbibed in solution of nanoparticles at different concentrations i.e., 500 and 1000 mg L -1 and incubated during 14 days.The number of germinated seed was registered at days 3, 7 and 14; the Kotowsky´s coefficient was calculated and the length of the roots was measured at the end of the experiment.The highest Kotowsky´s coefficient value was obtained for all the seeds imbibed in 50 mg L -1 .It was observed inhibition of roots growth in seeds treated at 1000 mg L -1 .It was confirmed an inhibition dependent of the concentration of nanoparticles.
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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) | 0.000 | 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 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".