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Record W3131397438 · doi:10.31185/jwsm.456

Assessment of Water Quality of Tigris River at El- Kut Dam, Iraq

2023· article· en· W3131397438 on OpenAlexaboutno aff
Sadik Hameed

Bibliographic record

VenueJournal of Wasit for Science and Medicine · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsWater qualityWater resource managementQuality (philosophy)Hydrology (agriculture)GeographyEnvironmental scienceEngineering

Abstract

fetched live from OpenAlex

The Tigris River in Iraq has fundamental roles in local society as a source of water for recreation; domestic use; irrigation; as well as receives of agricultural and municipals wastewater. The Canadian Council of Ministries of the Environment (CCME) Water quality Index (WQI) used for rating of water quality in Tigris River before and after El-Kut Dam indicates that the quality of water is in between marginal and fair water rank. The quality parameters determined for sources of the area showed that the water of Tigris River at all the sites was quite within the acceptable range and shows that the overall quality of water is suitable and safe for domestic and irrigation purposes. The water quality index is potentially useful as a decision tool in environmental planning and decision-making activities related to water resource protection, improvement and utilization towards a sustainable water resource management in the province of Wasit.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.819
Threshold uncertainty score0.494

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.064
GPT teacher head0.402
Teacher spread0.338 · 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.

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

Citations2
Published2023
Admission routes1
Has abstractyes

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