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Record W1974836008 · doi:10.1002/stab.201301649

Potenziale und Chancen der Stahl(leicht)bauweise beim Bauen im Bestand

2013· article· en· W1974836008 on OpenAlexaff
Paul Floerke, Lara Stein, Sonja Weiß, Dieter Ungermann, Eva Preckwinkel, Sebastian Lübke, Alena Patschin, Mike Gralla, Tim Brandt, Sabine Kubny, Thomas Ummenhofer, Tim Zinke, Christoph Herrmann, Tina Dettmer, Karsten Tichelmann, Bastian Ziegler

Bibliographic record

VenueStahlbau · 2013
Typearticle
Languageen
FieldEnergy
TopicRenewable Energy and Sustainability
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsModernization theoryScope (computer science)EngineeringStock (firearms)Architectural engineeringRedevelopmentConstruction engineeringCivil engineeringMechanical engineeringPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Abstract Potentials and prospects of the steel‐ and lightweight steel structures with existing buildings. To achieve a sustainable urban and spacial development the focus currently lies on the urban concentration, modernization and redevelopment of existing building stock. This especially opens up opportunities for (lightweight) steel construction, since steel has considerable advantages in comparison with other materials. The use of steel leads to lightweight building elements, high prefabrication, and good recyclability of the structure. Sustainable projects dealing with the building stock require a holistic view on all fields of building construction in consideration of functional, economic, ecologic and socio‐cultural aspects. Within the scope of the presented research project an interdisciplinary research group develops integral, sustainable solutions for the modernisation of the building stock with optimised (lightweight) steel structures for building extensions.

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 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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.684
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0000.000
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 head0.008
GPT teacher head0.238
Teacher spread0.230 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations1
Published2013
Admission routes1
Has abstractyes

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