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Record W4247757705 · doi:10.6028/nist.sp.1061

Forum workshop on establishing the scientific foundation for performance-based fire codes :

2006· report· en· W4247757705 on OpenAlexfundno aff
William L. Grosshandler

Bibliographic record

Venuenot available
Typereport
Languageen
FieldComputer Science
TopicSoftware Engineering Techniques and Practices
Canadian institutionsnot available
FundersNational Research Council CanadaU.S. Nuclear Regulatory CommissionWorcester Polytechnic InstituteCalifornia Institute of TechnologyNational Institute of Standards and TechnologyNational Science Foundation
KeywordsFoundation (evidence)Library scienceEngineeringComputer scienceArchitectural engineeringHistoryArchaeology

Abstract

fetched live from OpenAlex

The International Forum of Fire Research Directors (FORUM) is a group of the Directors of fire research organizations throughout the world which aim to reduce the burden of fire (including the loss of life and property, and effects of fire on the environment and heritage) through international cooperation on fire research. The desirability of having a roadmap to advance the scientific foundation for performancebased fire safety design (PBD) was agreed upon at the 2005 FORUM meeting in Magdeburg, Germany. Representatives from the FORUM membership and other invited technical experts gathered at the National Institute of Standards and Technology (NIST) in Gaithersburg on April 5-7, 2006, to develop a common, international vision for how a scientific foundation might be structured, which parts of the foundation are likely to be robust and where gaps are likely to exist into the foreseeable future. It was recognized that performance-based fire safety design already exists and is practiced in many parts of the world today, and that our current tools and level of understanding are adequate to support certain classes of performance-based fire safety design; however, other significant PBD applications were identified that exceed the capabilities of these tools. A vision for the next generation of performance-based design tools was developed that included a wide-range of enhanced capabilities that are documented in this report. Methods for the attainment of this vision were identified that included the establishment of

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.564
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0010.000
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 head0.054
GPT teacher head0.307
Teacher spread0.253 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreMethods

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

Citations2
Published2006
Admission routes1
Has abstractyes

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