Post-fire carbon and energy flux and meteorological data from Scotty Creek, Northwest Territories from 2023-2024
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
Fire is on the rise in the arctic boreal region and thus it is important to understand the impacts on ecosystem function post-fire. With permafrost thaw, understanding how fire impacts ecosystems in the permafrost region is vital to understand feedbacks from fire and permafrost thaw and how these ecosystem disturbances interact with each other. Here, we had a unique opportunity from an unfortunate even where a fire burned down and long-term research site in the Northwest Territories, Canada in October of 2022. With the funding from the NSF RAPID award, we quickly rebuilt the eddy covariance tower and published a first of its kind dataset of carbon (carbon dioxide (CO2) and methane (CH4)) and energy fluxes, before and after fire and the same exact location.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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