Bibliographic record
Abstract
With winds that constantly whip dust across high plains, a nomadic population that mostly lives in felt tents, and a local cuisine that consists of fermented goat milk and stewed meats, Mongolia is not a place for the pampered. This true-color image of Mongolia was acquired on March 27, 2000, by the Moderate-resolution Imaging Spectroradiometer (MODIS), flying aboard NASA's terra.nasa.gov/ Terra spacecraft. Most of the 2.3 million Mongolians live on the vast, rolling, semi-arid, grass-covered plateaus that stretch across eastern and northern Mongolia. In the image, these areas are a dark reddish-brown. The faint herringbone pattern running through eastern Mongolia is formed by the Kerulen and Orhon Gol rivers and their tributaries. The lighter reddish-brown areas covering most of southern Mongolia is the Gobi Desert. Vast and largely uncharted, the Gobi has become a favorite of fossil hunters from around the world. Here ideal fossil specimens of Velociraptor and Protoceratops have been unearthed. (See ../Features/Fossils/ Finding Fossils from Space for more details.) Moving to the southwest corner of the country, one can see the defined ridges that make up the sparsely vegetated Altai Mountain Range, the highest mountains in Mongolia. A number of lakes can be spotted to the northwest and the far north. The drumstick-shaped lake at the northern tip of Mongolia is Hovsgol Nuur, which is considered a national treasure in Mongolia with its picturesque alpine surroundings and pristine water. Further north in Russia, the long lake that is half surrounded by snow is the great Lake Baykal. Reaching 1,620 meters (nearly one mile) in depth, Lake Baykal is the deepest freshwater lake in the world and holds as much fresh water as the shallower lakes Superior, Huron, Ontario, Michigan, and Erie combined.
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.
How this classification was reachedexpand
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) | 0.491 | 0.003 |
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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".