MétaCan
Menu
Back to cohort
Record W2401920418

ASSESSMENT OF THE WATER QUALITY INDEX OF EUPHRATES RIVER BETWEEN HEET AND RAMADI CITIES , IRAQ

2011· article· en· W2401920418 on OpenAlexaboutno aff
Ahmed Turki

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsWater qualityTurbidityEnvironmental scienceTotal dissolved solidsSulfateFecal coliformHydrology (agriculture)Biochemical oxygen demandEnvironmental chemistryEnvironmental engineeringChemistryEcologyChemical oxygen demandBiologyGeologyWastewater
DOInot available

Abstract

fetched live from OpenAlex

The Water Quality Index (WQI) of Euphrates river between Heet and Ramadi cities was carried out using various water quality parameter from Nove mber 2008 to June 2009 . Twelve water quality parameters namely Ph , Dissolved Oxygen (DO) , Biochemical Oxygen Demand (BOD) , Turbidity , Total Dissolved Salts (TDS) , Total Suspended Solid s (TSS) , Bicarbonate (HCO3 - ) , Sulfate ( SO 4 = ) , Phosphate (PO4 = ) , Total Nitrogen (TN) , Chloride ( Cl - ) and Fecal Coliform (FC) were considered to compute Water Quality Index (WQI) based on the Canadian council of Ministers of the Environment Water Quality Index methodology (CCME WQI) . We found that the water quality of Euphrates r iver in the study area is mostly rated as ״ marginal ״ ( CCME WQI is 45.17 ) for over all drinking aquatic uses in the study period . Generally , the water quality was ״ marginal ״ at the upstream and ״ poor ״ at the downstream throughout the study period . The deterioration of water quality in Euphrates riv er can be attributed to natural and anthropogenic sources .

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 score0.071
Threshold uncertainty score0.998

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.063
GPT teacher head0.299
Teacher spread0.236 · 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

Citations15
Published2011
Admission routes1
Has abstractyes

Explore more

Same topicWater Quality and Pollution AssessmentFrench-language works237,207