Dataset on water quality characteristics of a hill stream in Bhaderwah, Jammu and Kashmir
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
The article summarises the data on water quality characteristics of Neeru stream analysed monthly for two years on a seasonal basis averaged to one year. Twenty-five water samples were collected and analysed to understand the quality of water based on index parameters. The data indicates marked variations in the concentration of most constituents mostly in the urban and suburban sections of the stream. The values for Canadian Water Quality Index (CWQI) were within acceptable range except for turbidity and nickel. The tributaries T-1, T-3 (III) and T-4 flowing close to urban settlement revealed relatively high levels of pollution (WQI:85-90), while T-3 (II) bisecting Bhaderwah town was heavily polluted (WQI:82.97). The main water channel (MC-1 to MC-10) with moderate to heavy pollution load in the middle and lower sections revealed reasonably good water quality (WQI 90-95).
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 | 0.001 | 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) | 0.000 | 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 it