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Record W6993111574

New town hall for the district Brno-North

2015· dissertation· cs· W6993111574 on OpenAlexaboutno aff

Bibliographic record

VenueBrno University of Technology Digital Library (Brno University of Technology) · 2015
Typedissertation
Languagecs
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Square (algebra)Pragmatics
DOInot available

Abstract

fetched live from OpenAlex

From the square dedicated to the town hall can get a unique view of the park Lužánecká Arboretum, Mendel University, and even a large part of the city of Brno. Around the southwestern edge of the square goes through the tram route, that there has also placed a stop. The tram strip is inserted into the green belt, which forms a filter of class gene. Peaks. Southeastern edge of the square adjacent to the street Provazníkova and is located on the trolley stop. Otherwise, the square bordered by commercial and office buildings. Town Hall is located in the northeastern part of the square so that overshadow the view from the street Krkoškova axis. When I draft Hall based on the assumption that it should be as simple and most transparent, so that by himself rewrote what is happening inside and out. That's why I chose it as its top square shape. In it, I put a little more illuminating atrium in the shape of a square. This solution, I then wrapped into a simple facade with a clear grid. That I then increased as needed to pick up the importance of the interior.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.586
Threshold uncertainty score0.591

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.5860.181

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 head0.202
Teacher spread0.194 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2015
Admission routes1
Has abstractyes

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