Prospects for underground coal gasification in Alberta, Canada
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
Coal-bearing formations underlie approximately 303 000 km 2 of Alberta. Coal seams can be traced in the subsurface, in hundreds of thousands of boreholes, over tens of kilometres and coal zones over hundreds of kilometres. Alberta has 2000 Gt of coal resource containing more than three times the energy content of Alberta’s oil sands (in-place bitumen resources at 1·8 trillion barrels); however, much of the coal is too deep or too costly to mine and it appeared that most of this vast resource would never be exploited. Underground coal gasification (UCG) linked to various carbon dioxide capture and geological storage technologies offers a way that Alberta’s coal resources can be utilised in a ‘carbon constrained’ world. With coal having been gasified at depths up to 1400 m, in an Albertan UCG pilot project, the huge coal endowment can be recognised as a potential answer for North America’s energy demand.
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