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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".