Modelling of heat and mass transfer processes of capillary-porous bodies
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
Abstract Rational nature management, recognized throughout the world as the dominant trend in the development of the economy, involves the most complete use of plant raw materials consumed by humans. For example, in the nutritional structure of people in most countries, plant proteins predominate over animal ones. In Japan, this ratio is 78.3 and 21.7; in Ukraine - 72.3 and 27.7; in the USA - 65.3 and 32.9; in Great Britain – 61 and 32.4; in Germany - 65.3 and 34.7; in France - 60 and 40; in Canada - 68.4 and 31.6; in China –87.3 and 12.7; in Italy - 74.6 and 25.4. A significant contribution to solving this problem is made by the correct storage of the collected agricultural raw materials at the stage of preparing them for processing. Given the significant amount of root crops, grains and seeds in edible plant raw materials, the interest of food producers to the conditions and modes of their storage becomes clear. Modern storages used for these purposes are equipped with various means to provide the necessary heat and humidity conditions; they even can regulate the composition of the environment in the premises of direct placement of stored mounds of root crops, grain and seeds. The paper considers the possibilities of the analytical assessment of the conditions for such storage of these mounds that would ensure their maximum preservation.
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