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Record W7027503453

The comparison of prices of a single-family house in different parts of the city České Budějovice in the years 2015 and 2016

2016· dissertation· cs· W7027503453 on OpenAlexaboutno aff

Bibliographic record

VenueBrno University of Technology Digital Library (Brno University of Technology) · 2016
Typedissertation
Languagecs
FieldSocial Sciences
TopicEducation, Psychology, and Social Research
Canadian institutionsnot available
Fundersnot available
KeywordsOrder (exchange)Quarter (Canadian coin)Value (mathematics)Revenue
DOInot available

Abstract

fetched live from OpenAlex

Abstract This thesis Compare the price of the family house in various parts of Ceske Budejovice in 2015 and 2016 "deals with the valuation of a family house at the usual price and the price determined in 2015 and 2016. The family house is located on the outskirts of the city and then will be relocated to the city center. The usual price is determined by comparison, the comparison is made with similar family houses offered for sale in the real estate advertising. The price recorded for the year 2015 will be calculated by using valuation Decree no. 441/2013 Coll., as amended by Decree no. 199/2014 Coll. 2016 using valuation Decree no. 441/2013 Coll., as amended by Decree no. 199/2014 Coll., Decree no. 345/2015 Coll., Decree no. 53/2016 Coll. The theoretical part explains the basic important concepts which relate to the thesis. In the practical part are processed individual methods of valuation for 2015 and 2016 and localities - outskirt and center of České Budějovice. The output of the practical part is comparison of the usual price and the price established. Finally, we evaluate the factors that affect the cost of family houses.

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 categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.011
Scholarly communication0.0000.001
Open science0.0040.001
Research integrity0.0010.001
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 head0.021
GPT teacher head0.280
Teacher spread0.258 · 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 designObservational
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

Citations0
Published2016
Admission routes1
Has abstractyes

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