MétaCan
Menu
Back to cohort

Seismic Behavior and Design of Innovative Modular Steel Floor System

2018· article· en· W2791396289 on OpenAlex
T.Y. Yang, Si Rou Zhuo, Yuan Jie Li

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

VenueKey engineering materials · 2018
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsModular designModular constructionEngineeringStructural engineeringMechanical engineeringCivil engineeringConstruction engineeringComputer science

Abstract

fetched live from OpenAlex

With increasing demands in high-rise constructions worldwide, developing a thinner steel floor system is becoming a crucial criterion in maximizing the useable and saleable spaces within a high-rise construction. This research aims to overcome the past drawbacks and develop an innovative and economical steel floor system that can be modularized and used within a modular construction. The proposed modular steel floor system can be fabricated offsite, shipped and assembled on site. This saves the construction time and fabrication cost. In this paper, the specially designed modular floor system was optimized for both gravity and lateral loads. The seismic performances of the proposed floor system are used in a 3-story prototype building. The results show that the proposed system is highly efficient in transferring the gravity and lateral loads which can be used effectively and efficiently for modular constructions worldwide.

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 score0.340
Threshold uncertainty score0.851

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 head0.011
GPT teacher head0.201
Teacher spread0.190 · 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