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Record W2242536781

Пути и проблемы энергоэффективного развития экономики ЖКХ северных регионов России на базе инновационных технологий

2011· article· ru· W2242536781 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueЭкономические и социальные перемены факты тенденции прогноз / Economic and social changes facts trends forecast · 2011
Typearticle
Languageru
FieldEconomics, Econometrics and Finance
TopicEconomic and Industrial Development
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Power (physics)Mechanism (biology)Economic systemBusinessEconomicsEconomyIndustrial organizationRegional scienceFinanceGeographyPhysics
DOInot available

Abstract

fetched live from OpenAlex

В статье рассматриваются проблемы энергосбережения и повышения энергоэффективности в жилищно-коммунальном хозяйстве северных регионов России и пути их решения на базе применения инновационных технологий с использованием энергосервисных контрактов как возможного механизма финансирования инвестиций в этой сфере. В качестве примера рассмотрена реализация пилотного проекта «Энергоэффективный квартал» в г. Апатиты Мурманской области.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.668
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0030.004
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0030.001
Science and technology studies0.0030.002
Scholarly communication0.0010.002
Open science0.0030.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0170.007

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 head0.156
GPT teacher head0.234
Teacher spread0.078 · 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