Bibliographic record
Abstract
(DGR) for low and intermediate level radioactive waste at the Bruce Nuclear site, located near Tiverton, Ontario. The DGR will be constructed as an engineered facility comprising a series of underground emplacement rooms at a depth of about 660 m below ground surface within the Paleozoic argillaceous limestone of the Lindsay Formation. This report describes the Geoscientific Site Characterization Plan (GSCP) recommended to acquire the necessary geoscientific information to support the development of descriptive geosphere models of the Bruce Nuclear site and the preparation of a DGR environmental assessment and site preparation/construction license application to the Canadian Nuclear Safety Commission. The GSCP described in this document addresses the site characterization data and information needs of DGR safety assessment and repository engineering functions. The important DGR geoscience data needs include: geological setting and framework, geomechanical setting and framework, hydraulic properties and state, diffusion and sorption properties, groundwater/porewater characterization and seismicity. The GSCP provides a technical description of the selection and proposed application of preferred tools and methods for site-specific geoscientific characterization of the sedimentary
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.556 | 0.469 |
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".