Effect of Electrical Conductivity (EC) on the Growth and Flower Production of Anthurium ( Anthurium andreanum )
Bibliographic record
Abstract
The experiment was conducted in Agriculture engineering college in Damascus during the summer season 2007 to study the effect of electrical conductivity on the growth of Anthurium andreanum and its tolerance patterns, throughout special period of time. Our study was carried out on two varieties of Anthurium (Red queen-Elizabeth) under suitable and unified conditions for all plants of the two cultivars in the green house, supplemented by two kinds of water. The first is distilled water to which we added some salts of compound fertilizer of N: P: K with 1:0.5:1.5 to create different levels of electrical conductivity (0- 1- 1.5- 2) ds/m. The second is tap water where the electrical conductivity is 0.30 ds/m and so we added salts of compound fertilizer of N: P: K with 1:0.5:1.5 to it to create other levels of electrical conductivity (1- 1.5- 2) ds/m. One year old plants were used and many variables were studied. Results showed that when EC was increased above 1ds/m, the growth of the plant decreased including the number of flowers and leaves. It was clear that tab was better than distilled water.
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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 | 0.001 |
| 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".