MétaCan
Menu
Back to cohort
Record W3215799990 · doi:10.12989/scs.2021.41.3.461

Seismic performance assessment of pre-engineered steel buildingson the west coast of Canada

2021· article· en· W3215799990 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueSteel and Composite Structures · 2021
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsFlangeStructural engineeringDuctility (Earth science)West coastBucklingEngineeringSpan (engineering)Beam (structure)GeologyMaterials scienceComposite material

Abstract

fetched live from OpenAlex

This paper focuses on the seismic performance of typical pre-engineered steel buildings (PSB) on the west coast of Canada. PSB are widely adopted for commercial and industrial long span low-rise constructions. Their structural system consists of a moment resisting frame made of built-up tapered I-beam elements, which often have slender and/or non-compact sections to minimize steel consumption. Typical seismic design of PSB consists of elastic analysis with force reduction factors (FRF) that assume some ductility. However, failure mechanisms in PSB are usually governed by flange local buckling and lateral torsional buckling, which might not provide the expected ductility. This paper presents an extensive series of numerical analyses to evaluate the seismic performance of four PSB prototypes designed for the city of Victoria on the west coast of Canada. Prototypes have similar general dimensions, while members

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score0.995

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 head0.004
GPT teacher head0.198
Teacher spread0.194 · 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