Study on the Effects of Different Media on the Seeding of F. cirrhosa at Plateau
Bibliographic record
Abstract
Bulbus Fritillaria cirrhosa is a precious wild herb of Liliaceae Fritillaria which grows in Tibetan area of China. Ripe seeds and one- year bulbs of Fritillaria cirrhosa D. Don were planting materials. Sandy soils, humus soils and humus soils with the dung of Hepialidae Larvae (Lepidoptera, Hepialidae) were selected as nursery materials.The experiments were conducted at XinduqiaoTown of Kangding County (Latitude: 101°, 34'N, longitude: 30°, 03'E, altitude: 3500 m) from March to Augustin 2011. The research was aimed to select the optimum medium of productive seeding and to study on effects of different media on growth of F. cirrhosa seeding. The results were: (1) Sowing with seeds and one-year-old bulbs of F. cirrhosa, S1 (100% humus soils with dung of Hepialidae larvae) was the best nursery media for sprouting. (2) The integrated performance was considered, including transverse diameter, longitudinal diameter, the ratio of longitudinal diameter to transverse diameter, 30-grain fresh weight and 30-grain dry weight. Sowing with F. cirrhosa seeds, S1 (100% humus soils with dung of Hepialidae Laravae) was the best medium for promoting the seedlings and getting larger size of bulbs. Sowing with one-year-old F. cirrhosa bulbs, S1 (100% humus soils with dung of Hepialidae Laravae) and S2 (100% humus soils) were advantageous for the growth of plantlet bulbing and getting larger size of bulbs. Adding sandy soil to substrates or 100% sandy soil asnursery media could inhibit thegrowth of F. cirrhosa bulbs, getting better shape of F. cirrhosa bulbs.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".