Water quality and construction materials in rainwater catchments across Alaska
Bibliographic record
Abstract
Many residents of Northern regions do not have access to municipal utilities. As such, rainwater catchments are commonly used as an untreated source of drinking water. The water quality in rain catchments depends on the materials used to construct the catchment, the frequency of rainfall, the amount of water collected, the quality of the rainfall, human and animal activity in the surroundings, and the duration of the water storage. The most problematic contaminants in rainwater catchments are bacteria, volatile organic compounds (VOC), and metals such as lead, copper, and zinc. The goal of this project was to help identify the frequency and magnitude of metal contaminants in Alaskan rainwater catchments. Over 50 participants from across Alaska had their tap water sampled for lead, copper, and zinc by atomic absorption during the summer of 2003. Statistical analyses showed strong correlations between catchment material and metal concentrations in drinking water samples. Key words: rainwater catchment, water quality, atomic absorption, lead, copper, zinc.
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 | 0.001 | 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 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".