Bibliographic record
Abstract
Research efforts were made to study several major issues in formulating the flood prevention plan of China's seven large river basins. The planning activity was organized by the Ministry of Water Resources. Our research recommendations were adopted during the course of the plan formulation. For example,we propose using the severe floods submerge areas of the 20th century as benchmarks for the identification of future flood prevention areas. Our viewpoint is that the most important consideration in the flood risk management is to actively circumvent risks and respond to risks. The core of circumvention risk is to restrict those unreasonable social economic activities of humankind,and thus reducing the flood risk. The design standard of a flood prevention area needs to be verified using a two-dimensional probability distribution method when the area is potentially threatened by two kinds of flood risks. Rationally upgrading the flood prevention standard is the priority in urban flood control. It is essential to better coordinate urban flood control and development,and to make full use of the urban damping effect on rainwater including retention of necessary water areas and utilization of rainwater. We should have well-balanced consideration to both options of storing and draining rainwater,rather than overemphasizing on the drainage option alone. We recommend that comparison and selection of safe development scheme for a flood retention area should comprehensively consider the risk zone that is divided using the integrated flood risk factor based upon the duration,frequency and depth of inundation,as well as the area natural and geographic conditions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".