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Record W6931054192 · doi:10.5281/zenodo.14236325

REHOUSE public report: Technical diagnosis (SRI, energy performance, air quality) initial status

2024· article· en· W6931054192 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammasome and immune disorders
Canadian institutionsCanadian Anesthesia Research Foundation
FundersEuropean Commission
KeywordsBaseline (sea)Task (project management)Process (computing)Work (physics)Software deploymentSet (abstract data type)LogbookPerformance indicator

Abstract

fetched live from OpenAlex

Summary: This public REHOUSE report D4.2 presents the results of Task 4.2 “DIAGNOSIS - Technical diagnosis (baseline) of current buildings status and energy systems” from Work Package (WP) 4 “Demonstration of the 8 renovation packages (TRL7)” in the Horizon Europe project REHOUSE. All the WP4 tasks works towards the aim to demonstrate the 8 Renovation Packages innovative solutions at TRL7 in the 4 demo-sites, from the deployment of a digital building logbook (T4.1), continuing with the process of the diagnosis of the buildings (T4.2), the design and preparation phases (T4.3), the construction phase (T4.4), the operational phase (T4.5) and by ending with the evaluation of the performance of the solutions under real conditions (T4.6). More specifically, D4.2, entitled “Technical diagnosis (SRI, energy performance, air quality) initial status”, presents the starting point of the four demo-sites of the REHOUSE project before the retrofit and it defines the baseline situation for the four demo-sites, so that the evaluation of the final performance, as defined in WP3 “Measurement, Evaluation and Learning methodology, impact assessment and platform specifications”, can be implemented. The document is structured in 8 chapters: After the introduction in chapter 1, chapter 2 presents the link with measurement and evaluation methodology as defined in WP3 in which T3.2 “Establishment of the REHOUSE set of indicators” identified and defined the project KPIs and T3.4 “Monitoring programmes/plans” which defined the monitoring programs for each demo-site, including the baseline monitoring needs. Detailed information about the previous tasks (T3.2 and T3.4) outcomes can be found under D3.2 “REHOUSE set of indicators selected for the impact assessment” and D3.4 “Monitoring programmes for the 4 demos”. The other chapters define the initial conditions of the demo-sites throughout different axes. Chapter 3 gives a global assessment of the buildings for each demo-site regarding the existing conditions, facilities and infrastructures collected through a defined questionnaire. Chapter 4 presents the assessment of the SRI initial level for each site. Chapter 5 and Chapter 6 present the energy performance and thermal comfort and indoor air quality initial status respectively for each demo-site. Finally, Chapter 7 presents the methodology followed by the Italian demo-site for the building structural diagnosis due to their seismic implications. In the Annex of the report it is possible to see the results of the application of the methodology presented in Chapter 7 to the Italian demo-site and the Questionnaire used for the data collection and the analysis shown in Chapter 3. Further public reports of the REHOUSE project: Publications – REHOUSE

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)0.021
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.172
Threshold uncertainty score0.575

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.026
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0020.001
Scholarly communication0.0070.004
Open science0.0040.005
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.1720.184

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 head0.029
GPT teacher head0.274
Teacher spread0.245 · 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 designObservational
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
Published2024
Admission routes1
Has abstractyes

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