Studies on Germination Characteristics of Indigofera stachyoides Lindl Seeds
Bibliographic record
Abstract
Objective: This paper discussed the seed germination characteristic and optimal germination condition of Indigofera stachyoides Lindl. Method: Chosen Indigofera stachyoides seed as the test materials,thousand-seed weight and the hard seeds rate were determined,then,by petri dish method,comparing the effects on germination rate of Indigofera stachyoides which was influenced by different conditions,such as hot-water treatment,temperature gradient,different light conditions( light or dark),as well as observing germination vigor.Results: The thousand-seed weight was 4. 83 g,and the rate of hard seed was 66. 67%. Germination rates were relatively high among the conditions of 60 ℃ hot-water treatment,25 ℃ and dark environment respectively.Conclusion: The optimal condition for the germination of Indigofera stachyoides Lindl seed was 60 ℃ hot-water pretreatment,and cultivated in dark at 25 ℃.
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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".