The Status of Foreign Advanced Pasture Water Supply Technology
Bibliographic record
Abstract
Abstract Pasture water supply is of great significance for rational management of grassland, maintaining grassland ecological balance and promoting the development of animal husbandry. The investigation of international advanced pasture water supply technology has important reference value for the development of science, technology and economy in domestic pasture area. The advanced pasture water supply technology in the United States, Canada and Holland was summarized and analyzed through the literature retrieval with database. And the current situation of water supply technology in typical pastures of China was investigated and summarized through the field investigation of the Inner Mongolia pasture and the visit of the local herdsmen. The foreign pasture advanced water supply technology of Fresh Water Mill, batteryless photovoltaic water supply system, stand-alone mixed energy supply system, wireless data collection system of remote water supply system, automatic constant temperature water supply system and automatic water supply control system for pasture are put forward in accordance with the characteristics of pasture in China.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Survey of pasture water-supply technologies; an agricultural engineering review of technology, not of research.
The object is pasture water-supply technology and its applications, not research.
Technical survey of pasture water-supply systems; literature is used for domain technology, not studied as research.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".