EVALUATING THE ECOLOGICAL STATUS OF AYTOSKARIVER AND BURGAS LAKE USING THE WATER QUALITYINDEX
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this study, water quality in Burgas Lake and the Aytoska River was assessed over a three-year period using complex indices – the Canadian Council of Ministers of the Environment Water Quality Index – CCME WQI; the Weighted Arithmetic Water Quality Index – WA WQI; and the National Sanitation Foundation Water Quality Index – NSF WQI. The change in water quality status of the two aquatic ecosystems at all monitoring sites is in the “critical” to “poor” condition except for the site – River. Aytoska – at Topolitsa village in 2023 as “very good” and “good” in two of the indices. Aquatic ecosystems in the Burgas region are of important international and economic importance and therefore maintaining, protecting and restoring their ecological status is of utmost importance.
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.
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 | 0.033 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.014 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.008 | 0.010 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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 it