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Record W2005290938 · doi:10.2478/eces-2013-0028

Effect of Development of the town of Przemysl on Operation of its Sewerage System

2013· article· en· W2005290938 on OpenAlexaboutno aff
Agnieszka Stec, Daniel Słyś

Bibliographic record

VenueEcological Chemistry and Engineering S · 2013
Typearticle
Languageen
FieldEngineering
TopicWater Systems and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsSewerageStormwaterSewageStorm Water Management ModelDrainageEnvironmental scienceDrainage system (geomorphology)Sanitary sewerQuarter (Canadian coin)Water resource managementCivil engineeringCombined sewerPlan (archaeology)Environmental engineeringEnvironmental planningEngineeringGeographySurface runoff

Abstract

fetched live from OpenAlex

Abstract The paper presents the results of the analysis of the sewage system functioning in the city of Przemysl. It was assumed that, as a result of joining to the city new areas, the volume of stormwater discharged to existing combined sewer system would increase continuously. The information about the areas that are planned to be joined was drawn from current development plan of the city. On the basis of data received from the sewage system exploiter hydrodynamic model of the drainage basin of Zasanie quarter was created. The model is based on the existing sewerage network design and development plan of the city. Simulations with the use of real-life precipitation data collected by the pluviometer in Przemysl were carried out with the use of Storm Water Management Model program.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.003
GPT teacher head0.151
Teacher spread0.148 · 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

Citations23
Published2013
Admission routes1
Has abstractyes

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