A synthesis of knowledge of the Milk River Transboundary Aquifer (Alberta, Canada - Montana, USA)
Bibliographic record
Abstract
This report is part of the Milk River Transboundary Aquifer Project (MiRTAP) initiated by the Geological Survey of Canada in 2009. The objective of this report is to integrate information from previous geological, hydrogeological and geochemical studies of the Milk River Aquifer with data from the current study in order to develop an integrated dataset for study of the aquifer. The present report constitutes a comprehensive review of previous and current studies of the Milk River aquifer on both sides of the Canada/US border. It is a synthesis of knowledge on the aquifer as per 2015. A transboundary extent of the aquifer has been defined, and an integrated stratigraphic study has been carried out in order to correlate differently named but chrono-stratigraphically and depositionally equivalent Formations and members on both sides of the international border. The transboundary integration and development of unified stratigraphic model allows a better understanding of the aquifer. It will be used to generating a conceptual hydrogeological model to support development of a three-dimensional numeric hydrogeological model. It is anticipated that the transboundary numeric groundwater model will aid in improved water management and contribute to improved understanding of the sustainability of the groundwater resource.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.012 | 0.022 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".