Territorial and Branch Assessment of Water Management Balance of Georgia Based on Differential Estimation and Modeling of Economic Impact on Water Resources
Bibliographic record
Abstract
Political and social-economic coups in the 1990s of the last century in Georgia, as well as in countries of the former USSR and East Europe has left its mark on the water management problems of those countries. Thus, for alternative assessment of probable water economy balance first priority is to select a representative period in dynamics for utilization of water resources. For Georgia such period is 1980s of the last century, as the most active period in historic economic development. The indicated period is characterized by comparatively reliable water management statistics, with stable socio-economic background and maximum anthropogenic load on water resources. For the very period branch and territorial structure of water management balance have been studied. Based on that alternative forecast have been assessed for the first quarter of the current century,according to the planned scenario during the above mentioned period. The indicated studies have been carried out based on differential assessment and mathematical modeling of economic load on water resources. Water management models have been developed for certain categories of water consumers using economic, demographic and ecological criteria.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".