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Record W2400083643 · doi:10.14288/1.0042665

Towards closure of the Fire Road Ard site in New Brunswick

2014· article· en· W2400083643 on OpenAlexaboutno aff
K. D. Phinney, Mark D. Coleman

Bibliographic record

VenuecIRcle (University of British Columbia) · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicFire effects on ecosystems
Canadian institutionsnot available
Fundersnot available
KeywordsClosure (psychology)GeographyPolitical scienceLaw

Abstract

fetched live from OpenAlex

The approximately 120 ha backfilled Fire Road coal mine cut, located near Fredericton New Brunswick, has been a source of acid rock drainage since the mid 1980’s. Lime neutralization treatment of drainage has been continuously ongoing. The cut, with depths to approximately 20 m, is located in sandstones containing iron sulphides, principally pyrite, in the range of 1 to 2 wt%. Site water chemistry has been intensively monitored over the years using a series of groundwater wells within and bordering the disturbed areas. This has provided a considerable inventory of water chemistry data which has enabled interpretation of the characteristics of acid generation at the site; the effectiveness of “in situ” neutralization in reducing the ultimate acidity of the drainage, and trends in acidity over the years. During the past number of years a definite trend of decreasing acidity has been observed leading to the conclusion that the site should exhibit “zero lime demand” within the next 10 years. At present, plans are being developed for final closure of the site.

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)0.001
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 score0.154
Threshold uncertainty score0.311

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0020.000
Open science0.0030.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.002

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 head0.004
GPT teacher head0.152
Teacher spread0.148 · 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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venuecIRcle (University of British Columbia)→Same topicFire effects on ecosystems→French-language works237,207→