Monthly SSEBop Landsat 30-meter actual evapotranspiration in the Milk River basin (U.S. and Canada) for the growing season (April - October) from 1985-2023
Bibliographic record
Abstract
Monthly actual ET (ETa) data estimated for the growing season (April - October) at 30-meter resolution with the Operational Simplified Surface Energy Balance (SSEBop) model (version 2.6) using satellite imagery obtained from Landsat 4, 5, 7, 8, and 9, and reference evapotranspiration obtained from the North America Land Data Assimilation 2 (NLDAS2) product for the Milk River basin, from 1985-2023. These data were collected to investigate the feasibility of incorporating remotely sensed evapotranspiration into an international water apportionment process between the U.S. and Canada.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".