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Record W859227399 · doi:10.15835/buasvmcn-agr:6529

Distribution of Water Quality in the Sasar River Basin According to the EPT (Ephemeroptera, Plecoptera, Trichoptera) Zoobenthos Bioindicators

2011· article· en· W859227399 on OpenAlexaff
Oana MARE ROŞCA, Lucia Mihălescu, Aurel MAXIM, Zorica VOSGAN, Monica Marian

Bibliographic record

VenueBulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca Agriculture · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicFreshwater macroinvertebrate diversity and ecology
Canadian institutionsScience North
Fundersnot available
KeywordsBioindicatorTributaryGeographyHydrographyDrainage basinEcologyWater qualityBiomonitoringPopulationEnvironmental scienceBiologyCartographyDemography

Abstract

fetched live from OpenAlex

The hydrographic basin of the Sasar River is located in the north-western part of Romania, a highly industrialized region until 2000, its main point being the city of Baia Mare. Here the main pollutant economic fields were mining and metallurgy. Thus, pollution affected all life environments of this region, including the health of the population. This paper presents the assessment of the ecologic status of the Sasar River Basin water quality. Thus, the zoobenthic communities of the Sasar River and its main tributaries were monitored for 4 years, twice a year, during 2004-2008. The analysis of the quality zoobenthic indices offers a total view about the ecologic status of a watercourse. From the multitude of bioindicator groups, the taxons belonging to the EPT (EPHEMEROPTERA, PLECOPTERA, TRICHOPTERA) communities were chosen, due to their implied ecologic relevance. The maximum number of the taxons belonging to the EPT communities were recorded for the Valea Măriuţii station (28), followed by the Valea Limpedea station (24), and the minimum EPT taxons were recorded for the stations of Valea Firiza (1), upstream from Baia Mare (1) and downstream from Baia Mare (1).The distribution of the saprobity degree of the analyzed EPT bioindicators is as it follows: 32 oligo-saprobic individuals (26,44%), 18 oligo-beta-mezosaprobic individuals (14,87%), 39 beta-mezosaprobic individuals (32,23%) and 2 beta-alfa-mezosaprobic individuals (1,65%).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.214
Teacher spread0.187 · 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 teacher head, not a consensus.

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
Published2011
Admission routes1
Has abstractyes

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