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Record W2908595752 · doi:10.4095/261724

Post-combustion capture - amine scrubbing / clean coal

2009· report· en· W2908595752 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicCoal Properties and Utilization
Canadian institutionsnot available
Fundersnot available
KeywordsData scrubbingClean coalCoalClean-upWaste managementCombustionAmine gas treatingEnvironmental scienceCoal combustion productsChemistryProcess engineeringEngineeringEnvironmental engineeringOrganic chemistry

Abstract

fetched live from OpenAlex

EPCOR's Genesee Post-Combustion Carbon Capture Demonstration Plant involves the construction of a demonstration facility that will capture CO2 from a greenfield coal-fired power unit at the Genesee plant (150 MW net) in Alberta. The CO2 will be used for enhanced oil-recovery operations and/or sequestered in a saline formation located within 100 km of the Genesee plant. The captured CO2 will be transported through collaboration with Enbridge Inc. and the Alberta Saline Aquifer Project (ASAP). ASAP is also responsible for measuring and monitoring the CO2 that will be stored in the saline aquifer. The Genesee plant is expected to commence operation in 2015, capturing 3,000 tonnes of CO2 per day, or nearly one million tonnes per year.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.223

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.003

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 head0.020
GPT teacher head0.229
Teacher spread0.208 · 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
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
Published2009
Admission routes1
Has abstractyes

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