Icing (aufeis) and seasonal water chemistry in lakes and streams on the subarctic Taiga Shield near Yellowknife, NT.
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 dataset represents a compilation of water chemistry parameters (dissolved organic carbon, nutrients, trace metals, major cations, water isotopes, carbon isotopes), dissolved organic matter composition (via UV-Vis spectroscopy and FT-ICR-MS- analysis) parameters at eight lakes in the subarctic Taiga Shield near Yellowknife, NT, which feed icings (aufeis) formation in the winter in downstream channels; icings have the potential to archive and modify the composition of flowing water in the winter. The dataset also includes the results of an incubation experiment at one site, and lake level data at two sites. Data show differences in water chemistry, carbon composition, and biolability of carbon across icings, winter, spring and summer surface waters (i.e. lake and stream water); data also shows seasonal variation in lake levels in lakes which feed icing formation. Collection dates and site information included in dataset.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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