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Record W7097569963

Chlorinated Solvent Source and Plume Behavior in Fractured Sedimentary Rock from Field Studies (former title) Investigating Contaminated Sites on Fractured Rock Using the DFN Approach

2013· article· en· W7097569963 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicGroundwater flow and contamination studies
Canadian institutionsnot available
Fundersnot available
KeywordsPlumeSedimentary rockContaminationMatrix (chemical analysis)PorosityPanache
DOInot available

Abstract

fetched live from OpenAlex

This presentation provides an overview of a major field- focused program of studies aimed at improved investigation methods and understanding organic contaminant source zones and plumes in fractured porous sedimentary rock. This research began in 1997, when intensive field studies were initiated at a TCE contaminated site on steeply dipping and faulted sandstone in California. Now, with collaborations involving several disciplines (analytical chemistry, mathematical modelling, geophysics, microbiology), the program includes three other sites contaminated with chlorinated solvents in addition to the California site: a Wisconsin site on flat-lying sandstone and two sites in Ontario on flat-lying dolostone. These four sites have important differences so that they are broadly representative of sedimentary rock but they have several aspects in common, including: much site data from earlier conventional investigations, contamination initially caused decades ago by DNAPL flow into the rock, sufficient matrix porosity (2-20 %) to allow diffusion-driven chemical mass transfer between fractures and the rock matrix causing strong influence on contaminant behaviour, deep contaminant occurrence (greater than 350 m below ground surface at one

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

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

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 head0.029
GPT teacher head0.256
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; 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
Published2013
Admission routes1
Has abstractyes

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