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
The appearance of interior wood products (e.g.: furniture and floors) is often the first criteria that affects customer’s interests while making a purchase. One way to diversify the colors and appearances of wood products is by using reactive stains. These coloring systems, consisting of aqueous solutions of metal salts, can penetrate wood and react with its phenolic compounds by forming metal complexes. The color of wood obtained depends on the type of phenolic compounds, type of metal salt, wood surface preparation, temperature, wood humidity, and others. In order to determine the relationship between the structural characteristics of the phenolic compounds and the color developed on wood surface, the polyphenols of two North American hardwood species were extracted and analyzed by different spectrophotometric methods and by liquid state phosphorus-31 nuclear magnetic resonance (NMR) spectroscopy. The chromatic coordinates (CIELAB system) of wood colors obtained after application of reactive stains were compared for these hardwood species. A better knowledge of the reaction mechanisms and the factors influencing them, will allow the optimal use of these systems in wood finishing industries. Since the colored products are present in the wood structure, the wood grain appearance will be preserved or even be accentuated. Enhancing the natural and warm aspect of wood used in buildings interiors can contribute to the well-being of the consumers and promote furthermore the use of this biosourced material.
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