Bibliographic record
Abstract
As a contribution to the Utah as Art collection created by UtahView, a member of the AmericaView consortium (https://americaview.org/), this image of the Bonneville Basin, Utah is intended to act as an educational resource to increase interest in the contributions of remote sensing satellites as an aid to Earth resource management. The Bonneville Basin is a system of endorheic basins located in northwestern Utah, once occupied by ancient Lake Bonneville, a Pleistocene pluvial lake that occupied the area from 32,000 to 14,500 years ago. Remnants of Lake Bonneville include the Great Salt Lake, Sevier Lake, and Utah Lake. Prominent features include the Newfoundland Range (center right) and the Pilot Range along the western edge. Light to deep blue areas represent variations in standing water and soil moisture, with lighter blues composed of snow along the mountain ranges, and deeper blues representing frozen or standing water. This image of the Bonneville Basin was captured on December 17, 2019, by the Multispectral Imager onboard the European Space Agency Sentinel-2A satellite. The image was overlain onto terrain relief data and enhanced to emphasize water and soil moisture characteristics.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.087 | 0.026 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".