Bibliographic record
Abstract
Construction of Atomic Energy of Canada Limited's (AECL's) Underground Research Laboratory (URL) began in 1982. The URL was designed to address the needs of the Canadian nuclear fuel waste management program. Over the years, a comprehensive program of geologic characterization and underground hydrogeologic, geotechnical and geomechanical projects have been performed, many of which are ongoing. The scientific work at the URL has evolved through a number of different phases to meet the changing needs of Canada's waste management program. The various phases of the URL have included siting, site evaluation, construction and operation. Collaboration with international organizations is encouraged at the URL, with the facility being a centre of excellence in an International Atomic Energy Agency (IAEA) network of underground facilities. One of AECL's major achievements of the past 20 year program has been the preparation and public defense of a ten-volume Environmental Impact Statement (EIS) for a conceptual deep geologic repository. Completion of this dissertation on the characterization, construction and performance modeling of a conceptual repository in the granite rock of the Canadian Shield was largely based on work conducted at the URL. Work conducted over the seven years since public defense of the EIS has been directed towards developing those engineering and performance assessment tools that would be required for implementation of a deep geologic repository. The URL continues to be a very active facility with ongoing experiments and demonstrations performed for a variety of Canadian and international radioactive waste management organizations.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".