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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 OpenAlexaboutno aff
Amirul Faiz Kamaruddin, Siti Hajar Najihah Romali, Nur Sarah Fatihah Tamsi, Maryam Zahaba, Noor Artika Hassan, Arman Ariffin

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.

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)0.013
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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

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 designBench or experimental
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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