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Record W2504403580

A revised approach to the UKIH method for the calculation of baseflow

2005· article· en· W2504403580 on OpenAlexaboutno aff
Andrew R. Piggott, Syed Afaq Moin, Chuck Southam

Bibliographic record

VenueHydrological Sciences Journal · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Watershed Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFluvialBaseflowGeomorphologyGeologyBase (topology)Hydrology (agriculture)HumanitiesGeographyMathematicsGeotechnical engineeringPhilosophyCartographyDrainage basinStructural basinStreamflowMathematical analysis
DOInot available

Abstract

fetched live from OpenAlex

Nous presentons une approche amelioree du calcul de l'ecoulement de base, appuyee sur la methode proposee a l'origine par l'Institut d'Hydrologie du Royaume Uni (UKIH). Les ameliorations reglent deux problemes inherents a cette methode qui l'empechaient de donner des resultats optimum; en l'occurrence le calcul des valeurs de l'ecoulement de base qui sont superieures aux valeurs correspondantes de l'ecoulement fluvial et la dependance des valeurs calculees vis a vis de l'origine de la segmentation sur cinq jours des donnees d'entree d'ecoulement fluvial. Nous illustrons l'approche a l'aide de donnees observees de l'ecoulement fluvial, typiques de regions du sud de l'Ontario, au Canada, ou l'ecoulement de base resulte essentiellement de l'emergence d'eaux souterraines.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.003

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 head0.042
GPT teacher head0.303
Teacher spread0.261 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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

Citations62
Published2005
Admission routes1
Has abstractyes

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