The Effort to Improve Water Quality of the Pemandian Alam Tourism in Batu Mbelin Village, North Sumatera
Bibliographic record
Abstract
The purpose of monitoring the water quality of Deli River at the Pemandian Alam in Mbelin Village, Sibolangit District was an effort to ensure that the Deli River at the meeting point of the Lau Betimus and Lau Petani were a Natural Bath that is safe from pollution. At the confluence point of the Lau Betimus and Lau Petani, it was observed based on the pollution index described by each station from upstream to downstream. The Deli River Pollution Index at the monitoring point of the Lau Betimus and the confluence of the Lau Petani were 0.49 and 0.55, which means the water quality is in good condition index or meets the quality standard. This means that the water quality at the observation station is still natural and has not been polluted by pollutants or waste.
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 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 | 0.014 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".