Archetypal Aquifer Project: consolidating 25 years of GSC groundwater work, Groundwater Geoscience Program 2019-2024
Bibliographic record
Abstract
Glacial sedimentary aquifers are the most commonly exploited groundwater resource in Canada. To better understand regional groundwater supply issues the Geological Survey of Canada (GSC) has been completing groundwater studies in glaciated terrains for over 25 years. It has predominantly focused work on 30 key Canadian aquifers. There is a need to consolidate and synthesis knowledge from numerous case studies and the broader literature within a framework. This project will address a classification for groundwater in glacial settings, consolidate data and knowledge for those settings, and collect new data as necessary. Analysis and modelling will enhance existing information in the published literature. To ensure the relevance and ability to support the broader Canadian groundwater community methods developments continues in a number of areas. Communication of results is critical and the project is embracing traditional avenues and also through participation in the Groundwater Project and contribution to international and provincial Webinars.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.006 |
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".