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Record W4392841932 · doi:10.1520/stp15992017fm

Front Matter

2017· paratext· en· W4392841932 on OpenAlexaff

Bibliographic record

Venuenot available
Typeparatext
Languageen
FieldEngineering
TopicHygrothermal properties of building materials
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsFront (military)Architectural engineeringNature versus nurtureEngineeringBuilding envelopeKey (lock)Building industryFront officeBusinessEngineering ethicsPublic relationsPolitical scienceEngineering managementMechanical engineeringMarketingSociologyComputer scienceGeographyComputer securityMeteorology

Abstract

fetched live from OpenAlex

Since 1938, ASTM Committee C16 has been developing standards and disseminating information generated from research on the hygrothermal (i.e., heat-air-moisture) response of building envelope materials and systems. During the last eight decades, the building construction industry has witnessed many social, economical, and technical challenges. These challenges at times appeared to be overwhelming, but innovations and adaptations have been key factors for the advancement and state of the building construction industry today. This advancement has been possible because of the synergistic collaborations between academics, researchers, and industry managers. ASTM successfully provided a platform to stimulate and nurture these interactions over the years.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.101
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0040.001
Insufficient payload (model declined to judge)0.8990.887

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 head0.017
GPT teacher head0.229
Teacher spread0.212 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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