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Architectural Renovation of Quarter in Mannheim, Germany

2015· article· en· W2065162702 on OpenAlexaboutno aff
Mikhail Petrichenko, Xeniya Mikhailovna Rakova, Maxim Vyatkin, Tatiana Musorina, Darya Kuznetsova

Bibliographic record

VenueApplied Mechanics and Materials · 2015
Typearticle
Languageen
FieldEngineering
TopicConstruction Management and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)LandscapingArchitectural engineeringArchitectureResidential areaCivil engineeringCenter (category theory)EngineeringGeographyTransport engineeringArchaeology

Abstract

fetched live from OpenAlex

The article presents a renovation project of a residential area: Mannheim, Germany. The plot size is 6.4 hectares. It includes Glückstein-park area adjacent to the historic buildings, as well as the south - eastern part of the quarter Glückstein. Territory selected for the design, located opposite the railway station. This area has the highest priority in the planning of the city, as it connects the neighborhood Lindenhof district and the city center. The project includes a number of design features that incorporate the social and economic aspects. The main expected result of the renovation is a well-designed a unique energy efficiency, functional and expressive architectural complex that serves a residential area. Architecture new objects fit into this area. Urban space located near the quarter was designed. The proposed preferred embodiment, more comfort improvement throughout, including a high level of landscaping.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.009
GPT teacher head0.192
Teacher spread0.184 · 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 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

Citations8
Published2015
Admission routes1
Has abstractyes

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