GeoRewind: Engineering carbon-sequestering soil amendments for carbon- smart soils
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
The agricultural fertilizer industry is on continual evolution; as the world’s population rises, demand is placed on fertilizers to boost crop-yields, yet at the same time societal pressures push the industry to become more environmentally sustainable. Our team, GeoRewind, aims to enable negative carbon emissions in the agricultural sector, through the mitigation of greenhouse gases and sequestration of carbon, with innovative-engineered soil amendments that can be deployed at large scale. The engineered soil amendments will provide the same fertility value of traditional fertilizers, but more efficiently, and with the added benefits of soil carbon sequestration. Our team intend to develop predictive and confirmatory tools that will take these products to the market in the coming years and have a significant impact in evolving the industry to a next generation of smart soil amendments.
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 | 0.000 | 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 it