Studies on the Effect of Different Varieties Lettuce Seeds Germination Treated by Light
Bibliographic record
Abstract
Seven different varieties lettuce seeds were treated with all light and light 6,4,2 h and dark at beginning of the imbinition.Then all the seeds were immediately put in the dark incubator at constant temperature of 20 ℃ and 30 ℃ for germination.Counted germination rate at the 7 th day,and analyzed the effect on germination of same or different varieties treated by different light.The results showed that:germination percentage of lettuce seeds was different from varieties.At 20 ℃ constant temperature,germination percentage of different varieties was all relative high.Different light led to germination percentage behaved differently between varieties,but the difference was not significant and had no laws.At 30 ℃ constant temperature,germination percentage was influenced significantly by light,and germination percentage correlated positively with lighting time,this phenomenon indicated that lettuce seeds need light during germination.
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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".