SMAPVEX19-21 Massachusetts Vegetation Optical Depth, Version 1
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This record is for the dataset "SMAPVEX19-21 Massachusetts Vegetation Optical Depth, Version 1” at <a href= "https://doi.org/10.5067/2PZJDURUJLWF ">https://doi.org/10.5067/2PZJDURUJLWF</a> <p><p> This was an experiment to study the sensitivity of L-band Vegetation Optical Depth (VOD) to changing vegetation water potential over a growing season. As part of the SMAPVEX19-21 campaign, an L-band radiometer was deployed atop a tower in the Harvard Forest, in Petersham, Massachusetts, looking down upon a stand of red oak. Additional instruments were installed within the radiometer's field of view to measure soil moisture and temperature, air temperature, tree xylem apparent dielectric permittivity at 70 MHz, tree xylem water potential, and canopy wetness throughout the same time frame. The radiometer collected data in V-polarization from late April to mid-October 2019. Also, over four days in early July 2019, the water potential and L-band complex dielectric constant of canopy leaves were measured at various times of day. <p> This dataset can be downloaded at <a href= "https://doi.org/10.5067/2PZJDURUJLWF ">https://doi.org/10.5067/2PZJDURUJLWF</a>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.077 |
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