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Record W2981510182 · doi:10.4095/297738

Highlights of OGS - GSC collaboration on Regional Groundwater Studies: 2015 - 2016

2016· report· en· W2981510182 on OpenAlexaffabout
H A J Russell, Andy F. Bajc

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsGroundwaterGeographyEnvironmental scienceGeology

Abstract

fetched live from OpenAlex

Following the first year of the Ontario Geological Survey and Geological Survey of Canada collaborative project an update on work completed under four principal themes is provided. To support a Framework for Sustainable Groundwater Use, a multiagency workshop was held on November 24th 2015 to address the need for a provincial groundwater data framework to support sustainable groundwater management. Project contributions to this embryonic framework involve development of a 3-D geological model of the Paleozoic and Surficial Geology. This initiative is also being advanced by development of an index stratigraphic framework of continuous core for the surficial geology of southern Ontario and online access via the Groundwater Information Network (GIN). Collaborative work has been initiated on development of a conceptual landscape framework on groundwater - surface water which will provide a foundation for issues identified in Annex 8 of the Great Lakes Water Quality Agreement. Methods Development for Regional Groundwater Studies are being advanced through analysis of seismic reflection, downhole geophysics and geochemistry data. Passive seismic techniques are being explored to permit enhanced depth to bedrock mapping and characterization of high velocity contrast units in the surficial stratigraphy. Activity development is ongoing on how to further advance data integration and analysis from a hydrogeophysics perspective. Regional methods for measurement of water storage and soil moisture using inferometry, RadarSat II and SMOS and SMAP are ongoing. In the past year, specific Case Studies have involved seismic reflection data collection in the Wasaga Beach and Niagara area. Results of previously collected downhole geophysics in the South Simcoe area were published by the GSC and additional downhole data collection commenced in the Niagara area with additional work planned for the Wasaga Beach area in 2016. Documentation of a legacy 300 site surficial geochemical dataset for Southern Ontario has been completed. This regional coverage is being complemented with pXRF analysis of continuous core to develop a subsurface chemostratigraphic framework. Eight cores collected across the Greater Toronto Area (GTA) have been analyzed and analysis will be extended to OGS cores from the Oro, Wasaga Beach, South Simcoe, Orangeville, Waterloo, Brantford-Woodstock, Niagara and London areas. Work is ongoing in the search for collaborative partnerships for an additional geochemical dataset in the GTA. Continuous core, geological modelling, and hydrogeological paraters (K) in the South Simcoe area are being used in a Ph.D. The study involves a stochastic facies simulation (geostatistics) of hydrostratigraphic heterogeneity with the objective to provide regionuncertainty assessment for groundwater flow modelling. Following up on the March 6th 2015 GAPS analysis workshop, Science & Technology Exchange has been initiated through an annual OGS-GSC open house. Manuscript submissions are underway for a special issue of Canadian Journal of Earth Sciences on the theme of Quaternary Geology and Applications to Groundwater Understanding. Project results are available via OGS - GSC publication streams, conference proceedings, and journal publications.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.568
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.082
GPT teacher head0.309
Teacher spread0.227 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2016
Admission routes2
Has abstractyes

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