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Record W2912908097 · doi:10.4095/313601

Hydrogeological terrains and typical settings of southern Ontario

2019· report· en· W2912908097 on OpenAlexaffabout
D R Sharpe, Andrew R. Piggott

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEnvironmental Science
TopicHydrology and Watershed Management Studies
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsHydrogeologyBedrockGeologyGroundwaterTerrainHydrology (agriculture)Groundwater flowSurface waterStructural basinGeomorphologyAquiferEnvironmental scienceGeographyCartography

Abstract

fetched live from OpenAlex

Groundwater is an important component of the hydrologic cycle of southern Ontario, which is significant to water supply and to groundwater discharge to surface water. To improve our understanding of groundwater, we develop a framework of typical terrains or hydrogeological settings that use geologic and topographic controls to describe how water moves through the southern Ontario landscape. Surface sediment and bedrock types, permeability, physiography and topographic gradients yield distinctive regional hydrogeological settings. Hence, we review a small number of hydrogeological settings, which contribute to a simple characterization of regional surface water and groundwater conditions across southern Ontario. Climate, stream and well monitoring data are integrated with local terrain information to assess the hydrological and hydrogeological response of typical settings. In each setting, the movement of water has differences in fluxes and temporal patterns as it flows across the surface and through the subsurface. We describe seven hydrogeological settings: five in sediment (clay, sand, till upland, till complex, and gravel); and two in bedrock. The selected hydrogeological settings characterize ~90% of all terrain at the regional scale based on a simplified geological map of southern Ontario. The identified settings cover large areas, and include several different sediment/ bedrock landscapes of the Paleozoic basin and Shield margin. It is expected that the main hydrogeological characteristics and hydrologic behaviour of these settings are represented in the hydrograph trends for each terrain.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.059
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.018
GPT teacher head0.228
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2019
Admission routes2
Has abstractyes

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