Analysis on Seed Vigor Testing of Chinese Cabbage Base on UV Absorbance Method and Electrical Conductivity Method
Bibliographic record
Abstract
UV absorbance method and electrical conductivity method of seed soaking solution were investigated to find which one is fit for quick seed vigor test using artificial aged chinese cabbage seeds and natural aged seeds with different seed vigor.The results shows that seed soaking solution absorption value is increasing with the shorten of wavelength in quartz cup,has a absorption peak on 286 nm wavelength in glass cup.The OD values of 286 nm absorption is increasing with the decline of seed vigor in the region of germinating rate over 85%,this trend is unfit for seeds germinating rate below 85%;however elcetrical conductivity method is fit for low seed vigor testing,but when seeds have relatively little difference on vigor level,this method is unreliable.So as for as qualified germinating rate seeds is concerned,286 nm absorbance peak testing method is fit for seed vigor testing,while electrical conductivity testing is fit for others.
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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 | 0.001 | 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".