Independent Comparisons among Calibration and Output of Energy Balance Components Estimated by the METRIC Procedure
Bibliographic record
Abstract
An accurate estimation of evapotranspiration (ET) is an integral part of the hydrological cycle and is increasingly important in local and regional water resource management in central and western United States. Traditionally, estimation of ET included substantial uncertainties, but with the advent of algorithms applied to high resolution (30 m) satellite imagery, ET estimates from bare soil and vegetation can be obtained with greater accuracy. The METRIC image processing model estimates net radiation, soil heat flux and sensible heat flux through a series of steps before estimating ET as the residual from the energy balance. This paper describes a comparison of the METRIC surface energy balance model outputs produced by two different research groups when using the same two 2007 Landsat 5 images as input. One of the research groups is based at the USDA Conservation and Production Research Laboratory in Bushland, Texas where the images and ground-based data were captured, and the other group is from the Kimberly Research Center, University of Idaho where METRIC was developed.
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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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".