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Record W3170825635 · doi:10.3130/aije.80.711

STUDY ON PREDICTION METHOD OF EXTERNAL THERMAL INSULATION RETROFIT EFFECTS OF CONDOMINIUMS IN COLD REGION

2015· article· en· W3170825635 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Environmental Engineering (Transactions of AIJ) · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban and spatial planning
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsEnvironmental scienceThermal insulationThermalArchitectural engineeringCivil engineeringMeteorologyEngineeringMaterials scienceGeographyComposite material

Abstract

fetched live from OpenAlex

This paper describes the effects of external thermal insulation retrofit regarding to indoor temperature rising and energy saving of space heating through three real projects of condominiums in Sapporo. The results of the retrofits, the indoor temperatures were all rose with 1.8 to 3.5 degree-C, and the heating energies were all saved with 17 to 46%. It also describes prediction formula of indoor temperature after the retrofit that was conducted through the analysis of the real projects. By the prediction formula, the effects of the retrofit have been able to estimate near real indoor temperature at the time before retrofit.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score0.449

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)0.0000.000

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 head0.012
GPT teacher head0.217
Teacher spread0.205 · 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