Spatial Patterns of River Width in the Yukon River Basin
Why this work is in the frame
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Bibliographic record
Abstract
This chapter uses software designed to measure river widths from satellite imagery to measure the widths of all rivers in the Yukon River Basin wider than ˜100 m from water masks derived from Landsat imagery. It also uses this data set to (a) understand the distribution of widths in the basin and (b) obtain the first uniform, high-resolution downstream hydraulic geometry (DHG) estimates for the entire basin and, separately, its major tributaries. The first step in calculating river widths for the Yukon Basin is to develop a mask differentiating water from all other land cover types. In order to develop DHG relationships between width and discharge, it is necessary to match each width measurement with an estimate of river discharge. The chapter concludes that the width-discharge relationship for the Yukon Basin developed with >500,000 data points is consistent with previous studies of DHG using many fewer observations.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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 it