Fires and Heavy Smoke in Alaska: Natural Hazards
Bibliographic record
Abstract
According to reports from the Alaska Fire Service, 50 active fires are burning in the state as of August 1, 2002. More than 1 million acres have burned so far this year. This modis.gsfc.nasa.gov Moderate Resolution Imaging Spectroradiometer (MODIS) image from August 1, 2002, shows multiple large fires (red dots) are emitting thick plumes of smoke that are blanketing the southern part of the state. The Yukon River comes in at upper right and flows toward the bottom left of the image. For false-color images that highlight the burned area extent, visit the rapidfire.sci.gsfc.nasa.gov/gallery/?2002216-0804/ MODIS Rapid Response System. Image courtesy Jacques Descloitres, rapidfire.sci.gsfc.nasa.gov MODIS Land Rapid Response Team at NASA 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) | 0.000 | 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) | 0.486 | 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".