Progressing toward an understanding of groundwater geochemistry of Innisfil Creek watershed, southern Ontario
Bibliographic record
Abstract
Groundwater represents an important source of water for agriculture in the Innisfil Creek watershed, southern Ontario, where water vulnerability issues were evident through recent drought conditions. Uncertainties remain regarding the groundwater flow pattern of the multi-layer aquifer system and further understanding is required to plan for sustainable groundwater use. A hydrogeological study based on geochemistry and isotopes (d2H, d18O, d13C,14C-DIC, and 226Ra) is being developed to better characterize and quantify recharge, regional flow patterns, and potential inter-aquifer flow. In this paper, we present on work completed in 2018. The study objectives were to gather existing hydrogeological and geochemical data into a comprehensive database, to analyse the data in order to support targeted additional water sampling, and to develop preliminary interpretations. The ongoing project is now set for the development of an initial conceptual model based on the geochemical and isotopic interpretations combined with statistical analyses and physical hydrogeology processes observed in the region.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".