MétaCan
Menu
Back to cohort
Record W4380450986 · doi:10.52202/069179-0300

LESSONS LEARNED FROM A DECADE OF RESEARCH ON WOOD ASSEMBLIES UNDER BLAST LOADING

2023· article· en· W4380450986 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicStructural Response to Dynamic Loads
Canadian institutionsUniversity of WaterlooCarleton UniversityUniversity of Ottawa
Fundersnot available
KeywordsFrame (networking)Boundary (topology)Key (lock)EngineeringComputer scienceStructural engineeringConstruction engineeringArchitectural engineeringForensic engineeringMechanical engineeringComputer securityMathematics

Abstract

fetched live from OpenAlex

A comprehensive research program, combining experimental and analytical research, has resulted in significant advancements of knowledge pertaining to the behaviour of various structural timber assemblies subjected to blast loads. The full paper will report on key findings obtained from investigating light-frame walls, mass timber elements, and boundary connections. Significant results on the effect of strain rate on the material behaviour, typical failure modes observed, as well as influence on connections will be discussed. The main outcomes from this decade-long research program have paved the way to the development of design methodologies and retrofit options.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.327
Threshold uncertainty score0.881

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.163
GPT teacher head0.400
Teacher spread0.237 · 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

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same topicStructural Response to Dynamic LoadsFrench-language works237,207