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Record W2792349326 · doi:10.4095/306570

Assessing the integrity of aquitards: the Newmarket Till at Ajax

2018· report· en· W2792349326 on OpenAlexaffabout
R Rashtchi, Tremblay Al, J Cornett, Rod Gerber, H A J Russell

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEnvironmental Science
TopicGroundwater flow and contamination studies
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsAjaxComputer scienceOperating systemWeb application

Abstract

fetched live from OpenAlex

The Newmarket Till is a regional aquitard in southern Ontario that overlies the Illinoian to Middle Wisconsinan Lower Sediment and is overlain by the Oak Ridges Moraine. Geological investigations have mapped the distribution of the till and it is understood that erosional channels, subsequently infilled with fluvial material, breach the till and may create enhanced hydraulic connection between overlying and underlying aquifers. However, little is known about the protective capability of the Newmarket Till where it is intact. This knowledge gap is being addressed by investigations of the rates and mechanisms for transport of natural and anthropogenic tracers in the porewater of the till. The research program was initiated in October 2017 with the coring of a new borehole at Sideline 4 near the intersection of highways 407 and 412, north of Ajax, Ontario. Vertical concentration profiles are generated for natural tracers by subsampling drill cores and then extracting porewater to measure the chemical (Cl, Br, F, NO3) and isotopic composition (delta-18O, delta-2H, delta-13C, 3H, 3He/4He). By coupling the tracer concentration profiles with a one-dimensional numerical transport model, we will calculate the rates of diffusive and advective transport across the aquitard.

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.801
Threshold uncertainty score0.400

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.060
GPT teacher head0.329
Teacher spread0.269 · 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
GenreEmpirical

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
Published2018
Admission routes2
Has abstractyes

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