Water-Repellent Spray for Textiles Using Plant Waste from Conifer Trees
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
A superhydrophobic textile coating, applied by using a home drying machine, was developed as an aqueous dispersion of waxes that were extracted from recycled Christmas trees. Because the bulk extraction of waxes yielded a mixture of hydrophobic and hydrophilic compounds, a purification process was tested to determine if removing noncrystallizing wax components would enhance the performance of the coating. The performances of coatings created from the crude and enriched extracts were compared, and no significant difference in hydrophobicity was found. Moreover, although the enriched coating was slightly more breathable, there was not enough of an improvement to justify the additional purification steps, rendering the crude extract more industrially viable. Overall, Christmas tree waxes are readily sourced and are capable of producing superhydrophobic coatings without the need for a costly purification step.
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