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Record W2005326495 · doi:10.14575/gl/rehab2014/106

Structural repair of decayed old timber end beams

2014· article· en· W2005326495 on OpenAlexfundno aff
Jorge M. Branco, F. Ferreira

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicArchitecture and Art History Studies
Canadian institutionsnot available
FundersRéseau Provincial de Recherche en Adaptation-Réadaptation
KeywordsForensic engineeringComputer scienceEngineering

Abstract

fetched live from OpenAlex

Timber end-beams represent portions with high risk of degradation due to biotic agents like rot fungi and insect attacks. Different repair techniques are available, with distinctive level of intrusion, but the substitution of the damaged part with a solid wood prosthesis is a methodology well accepted. The connection of the prosthesis to the original member can use screws, binding strips, stirrups and glued-in rods. Despite it is possible to find different case studies in literature, no study is known for the case of maritime pine beams and pros-thesis connected with glued-in steel rods. This works intends to fill this gap by presenting an experimental campaign aimed to evaluate a technique to repair timber end beams through the use of wood prosthesis connected to the original element by glued-in steel rods. For comparison purposes, the addition of new timber elements connected by screws is also evaluated as its represents a current practice in Portugal.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.017
GPT teacher head0.204
Teacher spread0.187 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations3
Published2014
Admission routes1
Has abstractyes

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