Fires Across Alaska: Natural Hazards
Bibliographic record
Abstract
Between the Brooks Range and the Alaska Range Mountains, along the path of the Yukon River, dozens of fires were burning on August 10, 2005, when the Moderate Resolution Imaging Spectroradiometer modis.gsfc.nasa.gov (MODIS) on NASA's aqua.nasa.gov Aqua satellite passed overhead and captured this image. This infrared-enhanced image makes burned areas (deep reddish brown) stand out from healthy vegetation (bright green) and water (dark blue). Snow on the mountains is bright blue. Notice that the vegetation on the high elevations of both mountain ranges is so sparse that some areas appear similar to the burned areas. The Alaska Interagency Fire Service report from August 10 stated that 571 fires had burned an estimated 2.4 million acres in the 2005 fire season to date. The high-resolution image provided above has a spatial resolution of 500 meters per pixel. The MODIS Rapid Response System provides rapidfire.sci.gsfc.nasa.gov/gallery/?2005222-0810/Alaska.A2005222.2210.721 this image and a rapidfire.sci.gsfc.nasa.gov/gallery/?2005222-0810/Alaska.A2005222.2210 photo-like image at additional resolutions. NASA image courtesy Jeff Schmaltz, rapidfire.sci.gsfc.nasa.gov MODIS Rapid Response Team, GSFC
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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) | 0.001 | 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) | 0.888 | 0.024 |
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".