Paintcrete leachability in fresh water and marine environments
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
Waste latex paint is considered the largest (by volume) household liquid hazardous waste collected in Canada and the USA. A technology for recycling latex paint in Portland cement concrete with added value was developed at The University of Western Ontario. The present study investigates the leaching of hazardous species from concrete incorporating recycled paint, known as ‘paintcrete’ as a partial replacement for mixing water. Specimens from concrete mixtures with various proportions of paint were subjected to simulated field environments including freezing–thawing and wetting–drying cycles, both in fresh and simulated seawater. The leachates from these specimens were analysed for heavy metals and glycols. It was found that the leaching of heavy metals from concrete specimens incorporating 15–25% paint and subjected to wetting–drying and freezing–thawing cycles, either in fresh water or artificial seawater, was not significant compared with values measured for a reference concrete mixture with no paint. The leaching concentrations of heavy metals were well below the contaminant levels according to the hazardous waste regulatory limits. In addition, glycol concentrations in the leachates at the end of a total of 100 cycles of freezing–thawing were much lower than the concentration of glycols in the original paint. Glycol leachates were also found to be acceptable based on environmental guidelines for glycols in surface water.
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 | 0.000 |
| 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