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Record W3184134516 · doi:10.1556/2065.182.2021.7.5

Hidrogeológiai kutatások a Paks II. atomerőmű telephelyvizsgálati programjában • Hydrogeological Investigations in the Site Characterisation Programme of the Paks II Nuclear Power Plant

2021· article· hu· W3184134516 on OpenAlexaff
Gyula Mező

Bibliographic record

VenueMagyar Tudomány · 2021
Typearticle
Languagehu
FieldSocial Sciences
TopicMetallurgy and Cultural Artifacts
Canadian institutionsGolder Associates (Canada)
Fundersnot available
KeywordsNuclear power plantHydrogeologyGeologyPhysicsGeotechnical engineeringNuclear physics

Abstract

fetched live from OpenAlex

Az új atomerőmű létesítését megelőzően végzett földtudományi vizsgálatok fontos eleme volt a hidrogeológiai kutatás.A cikk bemutatja a telephelyen és ennek tágabb környezetében elvégzett helyszíni vizsgálatokat és az ezek eredményeit összefoglaló vízföldtani modellezés fontosabb eredményeit.A vízföldtani megfigyelések és modellszámítások eredményei fontos információkat nyújtanak az új blokkok építésekor kialakítandó munkagödrök víztelenítésének tervezése során, illetve a szennyezőanyag-terjedési számításoknál.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.037

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 studies0.0020.002
Scholarly communication0.0030.001
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.034
GPT teacher head0.249
Teacher spread0.215 · 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
Published2021
Admission routes1
Has abstractyes

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