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Record W2981761692 · doi:10.4095/299799

Highlights of OGS-GSC collaboration on regional groundwater studies: 2016-2017

2017· report· en· W2981761692 on OpenAlexaffabout
H A J Russell, R D Dyer

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsGroundwaterEnvironmental scienceGeologyGeotechnical engineering

Abstract

fetched live from OpenAlex

The Ontario Geological Survey (OGS) and Geological Survey of Canada (GSC) groundwater collaboration in Southern Ontario is currently half-way through a five year project cycle ending March 31st 2019. Following earlier updates on work completed this update will be provided under five principal themes. 1. Framework for Sustainable Groundwater Use: The 3D bedrock modelling activity has developed a 57 layer formation working model. This model is being used to guide QA/QC throughout the stratigraphy. Database enhancements are focussed on shallow formation of significance to potable water. A wrap-up document to the November 24th 2015 workshop on a Groundwater Framework was released as a GSC publication. The surficial modelling work is continuing on data capture and development of an authoritative stratigraphic reference framework and online access via the Groundwater Information Network (GIN). 2. Supporting Great Lakes Water Accords: Work has advanced on development of a conceptual framework for evaluating groundwater - surface water interactions and impacts on the quality and quantity of water and ecosystems. This aligns well with issues identified in Annex 8 of the Great Lakes Water Quality Agreement. 3. Methods Development for Regional Groundwater Studies: Methods are being advanced through analysis of seismic reflection, downhole geophysics, geochemistry data and infrared survey data. Passive seismic data was collected in the Wasaga Beach area in the vicinity of OGS boreholes and OGS-GSC seismic data. The objective is to verify the utility of this technique to mapping depth to bedrock surface. The value of collecting down-hole seismic profiles using the mini-vibe was investigated and demonstrated to provide significantly improved results. Regional methods for soil moisture studies using Radarsat II and SMOS are ongoing. Data were captured along 20 km of Lake Simcoe shoreline by an infrared airborne survey to investigate groundwater - surface water interaction and to coordinate with a lake based radon survey. 4. Case Studies: Data collection has been completed in a number of areas. Seismic reflection data were collected in Simcoe central and Niagara area complimented by borehole geophysics. pXRF analysis of continuous core to develop a subsurface chemostratigraphic framework has been expanded to include Simcoe County and Waterloo. A geostatistical approach was applied within the Innisfil Creek subwatershed to determine the uncertainty of 18 hydrostratigraphic units. Characterization of Newmarket Till cementation was initiated and preliminary results are available on carbonate cementation in the matrix. Contract work was initiated on consolidation of information on municipal well information within Source Water Protection documents. Additionally work is ongoing on the hydrostratigraphic classification of wells within the PGWMN. 5. Science and Technology Exchange: Manuscript submissions are in progress for a special issue of Canadian Journal of Earth Sciences with ten manuscripts in various states of review. It is hoped that a 2017 publication remains feasible. Project results are available via OGS - GSC publication streams, conference proceedings, and journal publications. An overview document on the project was published in the Ontario Geological Survey Report of Activities for 2016.

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)0.020
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.286
Threshold uncertainty score0.576

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.010
Science and technology studies0.0040.002
Scholarly communication0.0090.004
Open science0.0030.014
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0460.013

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 head0.071
GPT teacher head0.329
Teacher spread0.258 · 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 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
Published2017
Admission routes2
Has abstractyes

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