Introduction Experiment of High Calcium Tree Species, Saskatoon Berries in the Southern Part of the Ningxia Hui Autonomous Region of Semiarid Loess Hilly Areas
Bibliographic record
Abstract
桤叶唐棣是高钙树种，优良的经济和水保树种，为改变黄土丘陵半干旱地区经济树(品)种单一，丰富人们膳食结构，提高群众人均收入和供给侧结构调整需要，我们从辽宁省干旱地区造林研究所引进桤叶唐棣在宁夏回族自治区南部黄土丘陵半干旱地区进行试验。结果表明桤叶唐棣无性繁殖力强，生长表现良好，抗旱、抗寒和病虫害能力强，经济效益高，适宜于在宁夏南部黄土丘陵半干旱大面积推广。 With high calcium tree species, Saskatoon berries (Amelanchier alnifolia Nutt.) are a good economic and water conservation tree species. In order to richen economic tree species, increase local people’s income and serve the supply side structure adjustment, we had introduced 5 cultivars of Saskatoon berries to the southern part of the Ningxia Hui Autonomous Region in the semiarid loess hilly regions in 2008 from Afforestation Research Institute of arid area of Liaoning Province. The result showed that because of good root asexual reproduction and growth performance, drought, low temperature and pest resistance, Saskatoon berries are suitable for large area promotion in the semiarid loess hilly regions and similar regions.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".