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
Ciliwung River which has upstream in Bogor, while downstream in Jakarta presence has very important role for the region in its path. Positive role of the river for the public interest in this area include the need of clean water sources, irrigation / agriculture, industry and others. Conversely Ciliwung River is also a source of flood disaster in Jakarta. Will consider its use, the risk of disaster resources and environmental burdens are received by the waters and the water catchment area is very large, then the existence of river quality should be monitored both the water catchment conditions or water quality. For future purposes, it would require a management with specific deadlines (5 th, 10 th, 15 th) and targets based on the quality of the water quality standards (BMA) class III, II and I. The results of the current monitoring parameters BOD, COD, fecal Coli, Coliform has a value above the threshold of water quality standards specified. While DO in the downstream segment has a value below the water quality standards. Other parameters such as pH, TSS and nitrogen have a greater trend downstream, but the value of the water quality is still under water quality standards that are targeted. Keywords: Water quality, Water Quality standards, Ciliwung river.
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 | 0.000 | 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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