The New Technique of Exploitating Farmland Evaporation Water on Weibei Arid Highland
Bibliographic record
Abstract
The authors analyse and summarize fecesiblcy and probably of exploitation farmland evaporation water;At the same time,the effects of precipitation and evaporation to grain yield were investigated and field experiments ware conducted,withleft stubble non-tillage straw mulching for whole growing processcultivated new technique.On our experiment condition,with the technique raising wheat yield 56.4%,raising maine yield 87%,soils content of water increasing 4.4% in 0～200 mm in summer fallows than tradition tillage technique.The numerous experiment and demonstrate results shown: left stubble non-tillage straw mulching for whole growing process is the advanced applied technique of reducing farmland evaporation,improving dryland,increasing yiely and income,protecting ecology,fertility raising,little input,operating easy.
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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 | 0.001 | 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 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".