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Record W2291030620

SCENÁRE ÚHRNOV ZRÁOK POČAS EXTRÉMNYCH ZRÁKO- VÝCH SITUÁCIÍ NA SLOVENSKU

2004· article· sk· W2291030620 on OpenAlexaboutno aff
Milan Lapin, Marián Melo, Ingrid Damborská, Martin Gera

Bibliographic record

Venuenot available
Typearticle
Languagesk
FieldEarth and Planetary Sciences
TopicGeophysics and Gravity Measurements
Canadian institutionsnot available
Fundersnot available
KeywordsPrecipitationEnvironmental scienceClimatologyDrainage basinMeteorologyGeographyGeologyCartography
DOInot available

Abstract

fetched live from OpenAlex

In the paper the review of very high one- to five-day precipitation total scenarios for the 2010, 2030 and 2075 time frames is presented. These totals can potentially cause flash floods in the medium-scale river basins in Slovakia. There is presented briefly also the method of scenarios design for unusually dry periods. As a base the Canadian GCMs CCCM 1997 and CCCM 2000 as well as the U.S.A. GISS 1998 model outputs regionally modified for Slovakia have been used. The measured series of extraordinary high precipitation totals in the river basins Kysuca and upper Hron in the period 1951-2001 have been used as the reference. The year 1992 represents a reference dry and warm year there.

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: none
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.026
GPT teacher head0.218
Teacher spread0.191 · 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
Published2004
Admission routes1
Has abstractyes

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