MétaCan
Menu
Back to cohort
Record W2100719086 · doi:10.1243/09544070d00705

Passenger Thermal Comfort in Vehicles - A Review

2006· review· en· W2100719086 on OpenAlexaff
C Walgama, Shelagh Fackrell, Munawar Nawab Karimi, Amir Fartaj, G. W. Rankin

Bibliographic record

VenueProceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · 2006
Typereview
Languageen
FieldMedicine
TopicThermoregulation and physiological responses
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsThermal sensationThermal comfortCompartment (ship)Work (physics)ThermalComputer scienceTransient (computer programming)Field (mathematics)Environmental scienceTransport engineeringSimulationAeronauticsAutomotive engineeringEngineeringMechanical engineeringMeteorologyGeography

Abstract

fetched live from OpenAlex

A comprehensive survey is presented of research studies regarding thermal comfort issues in the vehicle passenger compartment environment. The work is classified according to whether it is concerned with the passenger compartment environment or the condition of the passengers and their interaction with the compartment. The review includes factors associated with passenger compartment conditions, such as flow field and temperature field, which affect the thermal comfort of the occupants. The evolution of thermal comfort models is reviewed. Also included are various computational and empirical models for predicting physiological response and the sensation of thermal comfort in the non-uniform transient environment of a vehicle. The use of thermal manikins in these studies is also incorporated. Areas in which additional information is required are identified and comments are made regarding future research directions.

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)0.001
metaresearch head score (Gemma)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.028
GPT teacher head0.294
Teacher spread0.266 · 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
GenreReview

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

Citations46
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the Institution of Mechanical Engineers Part D Journal of Automobile EngineeringSame topicThermoregulation and physiological responsesFrench-language works237,207