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Record W2032543715 · doi:10.2478/msd-2013-0012

DEVELOPING AN ECOLOGICAL AND MIGRATION SYSTEM FOR ICHTHYOFAUNA ON THE CRIŞUL REPEDE RIVER NEAR THE CITY HALL OF ORADEA

2013· article· en· W2032543715 on OpenAlexaff
Eric L Kay, Răzvan Voicu

Bibliographic record

VenueManagement of Sustainable Development · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFish Biology and Ecology Studies
Canadian institutionsGolder Associates (Canada)
Fundersnot available
KeywordsWeirHabitatFish <Actinopterygii>Bridge (graph theory)Fish habitatUpstream (networking)Front (military)GeographyFisheryRiver managementEcologyHydrology (agriculture)Environmental scienceGeologyBiologyEnvironmental resource managementCartographyTelecommunicationsEngineeringMeteorologyGeotechnical engineering

Abstract

fetched live from OpenAlex

ABSTRACT proposes a technical solution to facilitate fish migration upstream the weir located on Crişul Repede River, near the Ferdinand Bridge from the Oradea Town. The proposed solution provides building of a system to facilitate fish migration, placed on the left bank of Crişul Repede, meant to restore the longitudinal connectivity of Crişul Repede River in front of the Ferdinand Bridge weir and to facilitate the access of the migratory fish species to upstream breeding habitats. The proposed migration system are based on the gravitational fall of water and will lead to the restoration of the longitudinal connection of the Crişul Repede River near the weir selected as case study, and will reconnect a habitat with a length of approximately 4 km, that will contribute to insuring of optimal conditions for developing migratory fish species present in the area

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)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.030
GPT teacher head0.215
Teacher spread0.185 · 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
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

Citations8
Published2013
Admission routes1
Has abstractyes

Explore more

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