Results Regarding Seed Germination of Agastache Foeniculum (Pursh) Kuntze
Bibliographic record
Abstract
Species from Aggastache genus are part of mint family (Lamiaceae) and their flowers represent a lure for insects (bees, butterflies etc.). The common name of hyssop comes from the plant’s hyssop flavour. Commercially, this plant is considered as having culinary importance. Several varieties of this species were selected in Canada, for their essential oil, which contains methyl chavicol. The species was cultivated in Moldavia, as an experiment, for essential oil production. The herb (Agastache foeniculi herba) is used for therapeutic purposes in treating cardiovascular, nerve and gastrointestinal affections, in treating cold, fever (North America Indies used the infusion for this intent) and as a diaphoretic. It also has antiemetic, antibacterial and antifungal properties. It improves throat pains and cold symptoms. The present study aimed to determine seed germination, by using classical methods- on paper under layer, in Linhardt dishes and in blotting paper envelopes. Seeds were 1, 2 and 3 years old. The results show that seed germination of Agastache foeniculum (Pursh) Kuntze, is influenced by age and external factors (temperature and light). TP (Top of Paper) and BP (Between Paper) methods both influence the germinating faculty
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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".