Effects of Three Factors on the Germination and Growth of Seedlings of Teak Fruits
Bibliographic record
Abstract
A L16( 45) orthogonal experiment of 3 factors and 4 levels was conducted to study the effect of water soaking time,gibberellin concentration,sowing method on teak seeds in April. The result showed that sowing method was the major factor effecting the germination of teak fruits and the growth of seedlings. Water soaking time was the secondary factor of influence to the germination of teak fruits. Gibberellin concentration had very significant influence on the height of seedlings and the length of leaves,but had no effects on fruit germination.Over all,the best treatment for teak fruits was as follows: the teak fruits were soaked in a concentration of 50 milligram per litre gibberellin solution for 24 hours,were covered with a layer of sand with a thickness in the range of 1- 2 centimeters. The fruits could be sowed directly without gibberellin treatment.
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How this classification was reachedexpand
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 | 0.000 | 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 teacher head, 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".