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Record W3023668567 · doi:10.2172/788932

URBAN WOOD/COAL CO-FIRING IN THE BELLEFIELD BOILERPLANT

2001· report· en· W3023668567 on OpenAlexaboutno aff
J.T. Cobb, Gene E Geiger, William W. Elder

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicForest Biomass Utilization and Management
Canadian institutionsnot available
Fundersnot available
KeywordsCoalQuarter (Canadian coin)EngineeringWaste managementManagementLibrary scienceArchaeologyGeography

Abstract

fetched live from OpenAlex

During the second quarter, important preparatory work was continued so that the experimental activities can begin toward the end of the third quarter or early in the fourth quarter. The Environmental Questionnaire was submitted to the U.S. DOE National Energy Technology Laboratory (NETL), after thorough review by the Bellefield Boiler Plant (BBP). Letters were submitted to the Allegheny County Health Department (ACHD) and the Pennsylvania Department of Environmental Protection (PADEP) to seek R and D variances for permits at the BBP, the J. A. Rutter Company (JARC), and Emery Tree Service (ETS) for their portion of the project. Memoranda of understanding were executed by the University of Pittsburgh (University) with the BBP, JARC and ETS. Construction wood was collected from Thompson Properties. Discussions were held with the BBP and Energy Systems Associates (ESA), the BBP's engineering consultant. Presentations describing the University of Pittsburgh Wood/Coal Co-Firing Program were provided to the American Chemical Society (ACS), the Federal Energy Management Program (FEMP), the Upgraded Coal Interest Group (UCIG) of the Electric Power Research Institute (EPRI), the Engineering Center for Environment and Energy (ECEE) of the University of Pittsburgh, the Pittsburgh Coal Conference (PCC), the Pennsylvania Ethanol Workshop, BioEnergy 2000 and the Kick-Off Meeting of the Biomass Cofiring Opportunities Solicitation Projects.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.887
Threshold uncertainty score0.791

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.030
GPT teacher head0.265
Teacher spread0.235 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2001
Admission routes1
Has abstractyes

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