Effect of Various Shading Methods on Cucumber (Cucumis sativus L.) Growth and Yield Production
Bibliographic record
Abstract
Greenhouse shading may have a time-dependent effect on fruitproduction, water and nutrient uptake in plants. A plastic house experiment wasconducted in Jordan Valley, Jordan to discover the impact of four shadingtreatments on cucumber “189 Cultivar” growth and yield production. Thesetreatments were Green Shadow 1 (GS1), Whitewash (Calcium Carbonate), Mudand Control (no shading).Results showed that permeability was reduced by using GS1 or whitewash asshading materials. The GS1 treatment produced the highest vegetative growth,while whitewash produced the highest fruit yield. However, using GS1 improvedfruit freshness and dry weight and maintained fruit quality. Also, as the lightintensity increased, fruit freshness and dry weight increased; while the controltreatment delayed flowering, decreased the production period and increased themite infestation. Therefore, there is a need for shading the plastic houses in thisarea of Jordan during summer months.
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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".