Autumn Colors Arrive in Alaska: Image of the Day
Bibliographic record
Abstract
A rare clear view of the state of Alaska reveals a beauty that is as spectacular from space as it is on the ground. On September 14, 2003, the clouds parted over the region, and showed the landscape already displaying fall color, although the official start of the season was a week away. The state is swathed in reddish browns, golds, and greens as summer's lushness fades. Scattered across the landscape are several dark brown patches that mark the location of fire-scarred terrain. In the upper left corner of the scene, the Yukon River flows down from the north as a bright green ribbon, emptying sediment and other organic matter into Norton Sound. Right of center, Cook Inlet is colored gray by fine glacial silt brought in by the Susitna River and its tributaries. Snow-covered mountain ranges, including the Alaska Range to the north, surround the Inlet. At bottom, to the right of center, is Kodiak Island. This image was captured by the modis.gsfc.nasa.gov Moderate Resolution Imaging Spectroradiometer (MODIS) on the aqua.nasa.gov Aqua satellite. The large image provided above shows a wider area in better detail; the scene extends all the way north to the Brooks Range and Alaksa's Northern Slope and southward along several hundred kilometers of the Alaska Peninsula. The high-resolution image provided above is 500 meters per pixel. The MODIS Rapid Response System provides this image in even higher detail at MODIS' maximum spatial resolution of http://rapidfire.sci.gsfc.nasa.gov/gallery/?2003257-0914/Alaska.A2003257.2300.250m.jpg 250 meters.
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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) | 0.445 | 0.007 |
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".