MétaCan
Menu
Back to cohort
Record W2886470930 · doi:10.29007/2km4

Investigation and feasibility study of ground source heat pump for office buildings in China

2018· paratext· en· W2886470930 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEasyChair preprint · 2018
Typeparatext
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsnot available
FundersCanada Excellence Research Chairs, Government of Canada
KeywordsHeat pumpAdaptabilityChinaCivil engineeringField surveyEnvironmental scienceArchitectural engineeringEngineeringMechanical engineeringGeography

Abstract

fetched live from OpenAlex

The adoption of ground-source heat pump (GSHP) in building sector for space heating/cooling, has increased rapidly during the past several decades around the world, especially in China. Meanwhile, it also exposed a lot of problems such as poor economic and energy efficiency, and even failure to operate properly. The purpose of this paper is to post-assess the application of existing GSHP projects, and to analyze the feasibility of ground-coupled heat pumps(GCHP) applied to office buildings in different climatic zones in China. More than one hundred GSHP cases are investigated through literature surveys and field data collection. Based on the post-evaluation results, a model for assessing the adaptability of GCHP is established. The feasibility evaluation of GCHP applied to office buildings are carried out, and key indicators, such as available capacity, energy savings, and cost-efficiency, etc. are presented among different climatic zones in China.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.914
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.034
GPT teacher head0.285
Teacher spread0.250 · 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