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Record W6989117787

ABIOTIC AND BIOTIC SEQUESTRATION OF SELENIUM IN ANOXIC COAL WASTE ROCK

2017· dissertation· en· W6989117787 on OpenAlexfundno aff

Bibliographic record

VenueUniversity Library - University of Saskatchewan (University of Saskatchewan) · 2017
Typedissertation
Languageen
FieldNursing
TopicSelenium in Biological Systems
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institute of Mining, Metallurgy and Petroleum
KeywordsAnoxic watersCoalCoal miningWeatheringMineralWaste disposal
DOInot available

Abstract

fetched live from OpenAlex

Waste rock dumps at coal mines in the Elk Valley are the primary source of selenium (Se) in the Elk River.The mobile Se oxyanions, Se(IV) and Se(VI), can be adsorbed to mineral phases or reduced biotically or abiotically to Se solid phases, such as Se(0).Microbial analyses and geochemical testing were conducted to determine if Se can be sequestered in anoxic coal waste rock by these mechanisms.Testing was conducted on a waste rock sample collected from the West Line Creek waste rock dump in the Elk Valley and a water sample collected from the rock drain flowing beneath the dump.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.226
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0020.000
Research integrity0.0020.001
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 head0.010
GPT teacher head0.191
Teacher spread0.181 · 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 teacher head, not a consensus.

Study designQualitative
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
Published2017
Admission routes1
Has abstractyes

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