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Record W4402433455 · doi:10.5957/smc-2024-062

Development of Indoor Air Quality (IAQ) Standard for Extended Work Shifts in the Royal Malaysian Navy (RMN) Ships

2024· article· en· W4402433455 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

VenueSNAME Maritime Convention · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicMaritime Transport Emissions and Efficiency
Canadian institutionsnot available
Fundersnot available
KeywordsNavyIndoor air qualityWork (physics)Architectural engineeringQuality (philosophy)Environmental scienceComputer scienceAeronauticsEngineeringEnvironmental engineeringMechanical engineeringPhysicsGeography

Abstract

fetched live from OpenAlex

The RMN IAQ standard for naval ships is proposed. Occupational Safety and Health (Use and Standard of Exposure Chemicals Hazardous to Health Regulations 2000 (USECHH 2000) and Malaysian Industry Code of Practice on Indoor Air Quality 2010 (ICOP IAQ 2010) were selected as the reference standards to adjust the acceptable limits. The extended work shifts adjustment for 12-hour working duration were achieved using Brief and Scala model and Quebec model. The development of the adjusted IAQ standard was supported by in-depth interviews with four experts. Next, compliance analysis of IAQ parameters was performed to evaluate the suitability of the RMN IAQ standard. The compliance analysis on “Ship Alpha” found that RH, CHOH, CO, CO2, NO2, PM2.5, and PM10 complied with the RMN IAQ standard, excluding temperature (electrical room and wardroom) and TVOC (bridge, wardroom and cabin).

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0050.000

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 head0.021
GPT teacher head0.277
Teacher spread0.256 · 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