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Record W4213020541 · doi:10.1049/pbbe001e_ch15

Ventilation and fire safety for high-rise buildings

2021· book-chapter· en· W4213020541 on OpenAlexaff
Dahai Qi

Bibliographic record

VenueIET eBooks · 2021
Typebook-chapter
Languageen
FieldEngineering
TopicFire dynamics and safety research
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsCabin pressurizationVentilation (architecture)SmokeNatural ventilationEnvironmental scienceArchitectural engineeringEngineeringWaste managementAerospace engineeringMechanical engineering

Abstract

fetched live from OpenAlex

Chapter Contents: 15.1 Background 15.2 Ventilation types 15.2.1 Natural ventilation 15.2.2 Mechanical ventilation 15.2.3 Hybrid ventilation 15.3 Smoke control for high-rise fires 15.3.1 Pressurization system for stairwells 15.3.1.1 Minimum design pressure difference 15.3.1.2 Maximum design pressure difference 15.3.2 Smoke ventilation 15.4 Case studies 15.4.1 Evaluation of high-rise fire smoke control 15.4.2 Atrium fire smoke control References

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.036
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0360.006

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 head0.011
GPT teacher head0.216
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

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 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
Published2021
Admission routes1
Has abstractyes

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