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Record W2166792774 · doi:10.1061/9780784412329.140

Structural Steel Fabrication Special Purpose Simulation

2012· article· en· W2166792774 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.

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

Bibliographic record

VenueConstruction Research Congress 2012 · 2012
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSet (abstract data type)ProductivityComputer scienceFabricationManufacturing engineeringIndustrial engineeringSimulation modelingSystems engineeringProcess managementEngineering drawingEngineeringProgramming language

Abstract

fetched live from OpenAlex

A special purpose simulation template (SPST) provides a specially built and easily understandable set of modeling elements targeted system managers who are not necessarily familiar with the simulation modeling concepts. Nevertheless, most construction managers fall into this category of the managers. In this research we have developed a SPST which facilitates development of the simulation models for the structural steel fabrication shops (SSFSs). These simulation models can help SSFS managers to observe the effects of any alternative modifications to the shop layout or equipment prior to their actual implementation. These models ultimately improve the shop productivity by suggesting the most appropriate alternative modifications. At this stage of the research the development of the SPST has been finished and its capacities have been tested on a SSFS. As the future steps of the research the developed SPST is going to be validated and applied to the real SSFSs cases and introduced as a useful tool to the SSFS managers.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.863
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.053
GPT teacher head0.331
Teacher spread0.278 · 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