Bibliographic record
Abstract
The Gahcho Kué Panel (Panel) conducted an environmental impact review (EIR) of the Gahcho Kué Diamond Mine Project (Project), a proposed open pit diamond mine at Kennady Lake, located approximately 280 km northeast of Yellowknife. The developer of the proposed Project is De Beers Canada Inc. (De Beers). This report describes the process, evidence, conclusions and decisions of the environmental impact review. Proposed development De Beers proposes to construct, operate and close an open pit diamond mine to recover diamonds from three ore bodies known as 5034, Tuzo and Hearne, which are located beneath Kennady Lake. The 5034 and Tuzo ore bodies will be mined to approximately 300 m and the Hearne ore body to 205 m. During construction, Kennady Lake will be isolated from surrounding water bodies by building a series of dykes and berms. In order to access the ore bodies, portions of Kennady Lake will be dewatered by discharging water through the natural outlet of Kennady Lake and to a pipeline to a nearby lake. During mine operations, part of Kennady Lake will be used as a water management pond to manage the groundwater that is pumped
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.433 | 0.310 |
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 itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".