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Разработка методики испытаний пакетов материалов одежды специальной защитной пожарных с учетом послойного контроля температуры при нагревании

2020· article· ru· W3030920455 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.

fundA Canadian funder is recorded on the work.
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 Civil Protection · 2020
Typearticle
Languageru
FieldEngineering
TopicPolymer Science and Applications
Canadian institutionsnot available
FundersUniversity of Alberta
KeywordsMedicine

Abstract

fetched live from OpenAlex

Цель. Определение защитных свойств пакета материалов при нагреве.
 Методы. Исследование изменения температуры в пакете материалов путем послойного контроля значений при нагреве.
 Результаты. Разработана и представлена установка для проведения экспериментальных исследований изменения температуры в слоях пакета материалов и методика к ней. Проведены экспериментальные исследования, получены числовые характеристики исследуемых пакетов защитной одежды пожарных. Результаты исследований сопоставлены с теоретическим расчетом в среде ANSYS. Погрешность расчетных данных не превышает 7 %.
 Область применения исследований. Результаты исследований могут быть использованы в разработке, исследовании и оптимизации строения и конструкции пакета материалов для защитной одежды пожарных.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.580
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.028
GPT teacher head0.225
Teacher spread0.198 · 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