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Record W2607121690 · doi:10.23977/jaip.2016.11007

Human Thermal Comfort Study Based on Average Skin Temperature

2016· article· en· W2607121690 on OpenAlex
Wenmiao Wu, Qiansheng Fang, Yalong Yang, Bao Xie, Mingyue Wang

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.

venuePublished in a venue whose home country is Canada.
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

VenueJournal of Artificial Intelligence Practice · 2016
Typearticle
Languageen
FieldMedicine
TopicInfrared Thermography in Medicine
Canadian institutionsnot available
FundersNatural Science Foundation of Anhui ProvinceNational Natural Science Foundation of China
KeywordsThermal comfortSkin temperatureLinear discriminant analysisHuman skinHomogeneousThermalComputer scienceDiscriminantEnvironmental scienceMathematicsArtificial intelligenceEngineeringMeteorologyGeography

Abstract

fetched live from OpenAlex

As an important evaluation index of indoor environmental quality, human thermal comfort is affected by various factors. As human physiological signal, the skin temperature is closely related to human thermal comfort. To investigate the model's mapping relationship between the skin temperature and the human thermal comfort, the skin temperatures of six parts of human body were chosen as research object, the linear mapping relationship between the average skin temperature and the human thermal comfort was analyzed by using Fisher discriminant method under five different experimental conditions and subjective voting. As a result, the mathematical evaluating model between the average skin temperature and human thermal comfort was obtained based on experiments. The results indicate the average precision of this model is high and the discriminant result is reliable, which provides valuable reference for human thermal comfort modeling under homogeneous environmental condition.

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)0.003
metaresearch head score (Gemma)0.002
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.223
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.360
Teacher spread0.325 · 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