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Record W7135804839

Prague metro as a place for geological excursions

2018· dissertation· cs· W7135804839 on OpenAlexaboutno aff
František Pekárovics

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2018
Typedissertation
Languagecs
FieldEngineering
TopicGeodetic Measurements and Engineering Structures
Canadian institutionsnot available
Fundersnot available
KeywordsMetropolitan areaPlacemakingQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Pražské metro jako prostor pro realizaci geologických exkurzí Abstract: The aim of this diploma thesis is to evaluate and explore the potential of the tiling materials used in the Prague metro and to create guidelines suitable for organizing geological excursions. Ysdfvwavweefawfbaljehbrrkvjasdhbflavjsdhbf alskdjfbalksjdfnaůksjdnaůkjsdfnaůksjsa Sdfasdfasdfasfavsdfvaskedjfnalksjdfnca weuifhmacskdjfmcapisdjfcaksdjnfcamůskdjfnmacsdkjfnmacůskjdfmnacůs kdjfmnaclskdjfnmacůskdjfnacf askdjfaůksjdf nasdkfjn askdjfn aůksjdnf aůskjdfn aůkjsdf akjsdn fakůjsd fnaůksjdfnaůksrjng adg

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.010
GPT teacher head0.243
Teacher spread0.233 · 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 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
Published2018
Admission routes1
Has abstractyes

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