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 non-uniform snow load on a complex roof is one of the most important factors that should be considered by a designer. The snow codes of China, America, Canada and Europe were compared, and the difference of equations and roof types were analyzed. Snowdrift simulation was carried out by using edible salt, silica sand, alum and dry sawdust of pine in a wind tunnel. The results show that in the four codes, snow loading is expressed by the product of reference snow pressure and coefficients in different types, and that fewer parameters on environment are considered in Chinese code, compared with other codes. As the adhesive force of alum is too strong, it is difficult to produce a continuous drift motion in a wind tunnel test for this material. The simulation effect of the dry sawdust of pine is not as good as its density is too small. The edible salt and silica sand with high density have relatively good simulation effects. In order to attain non-uniform snow loading on a structure in a design period by wind tunnel tests, the field observation with multiply parameters, the collection of meteorological data in detail, similarity criterion and parameter selection research are necessary as a basic research.
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