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Dynamic Model of Facial Cooling

2002· article· en· W1999724017 on OpenAlex
Peter Tikuisis, Randall J. Osczevski

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Applied Meteorology · 2002
Typearticle
Languageen
FieldMedicine
TopicInfection Control and Ventilation
Canadian institutionsDefence Research and Development Canada
Fundersnot available
KeywordsThermal conductionMechanicsThermalConvectionMaterials scienceRadiative transferHeat transferCheekTransient (computer programming)ThermodynamicsOpticsPhysicsComputer scienceMedicineAnatomyComposite material

Abstract

fetched live from OpenAlex

Recent modifications to windchill forecasting have motivated the development of a rate-of-tissue-cooling model for the purpose of predicting facial cooling times. The model assumes a hollow cylindrical geometry with a fixed internal boundary temperature and adherence to the dimensions and tissue thermal properties of the cheek. Convective and radiative heat exchanges at the skin surface are also taken into account. The explicit finite-difference solution of the thermal conduction problem was applied to predict the transient temperature profile in the cheek model, composed of 25 concentric annular compartments with equally spaced nodes. Model predictions compare favorably to reported incidents of facial frostbite and to several laboratory studies on facial cooling. A sensitivity analysis demonstrates the effect of varying the values of tissue thermal resistance and cheek dimensions on the predicted facial cooling rate.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.901
Threshold uncertainty score0.225

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.262
Teacher spread0.241 · 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