Snowstorm Blankets Midwestern U.S. : Image of the Day
Bibliographic record
Abstract
An early blast of wintry weather swept across the midwestern United States on November 27-28, 2001, leaving a wide swath of snow and ice on the ground extending from northern Texas up into the Dakotas and as far east as Michigan. Two inches of snow accumulated in the Texas panhandle while sleet and freezing rain glazed bridges and roads as far south as the Dallas-Fort Worth area. Meanwhile, more than 2 feet (0.61 meters) of snow fell in parts of the Dakotas, Wisconsin and Michigan. The town of Willmar, Minnesota, recorded an accumulation of 29 inches (74 cm) of snow. By December 1, the clouds had cleared enough to afford the Moderate-resolution Imaging Spectroradiometer (MODIS) this true-color view of the midwest. The wide swath of white snow, contrasted with the brownish colors of the bare surface, reveals the extent of the region affected by the snowstorm. This scene spans from Ontario, Canada, and Minnesota (upper right) westward across the Dakotas and Montana (upper left). Moving southward, we see the storm blanketed half of Nebraska and the northeast corner of Colorado (lower left). The Missouri River can be seen clearly winding its way southeastward through South Dakota. The Missouri also defines the border between Nebraska and Iowa. The Minnesota River can also be seen in southwestern Minnesota.
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) | 0.535 | 0.002 |
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".