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Record W1521884744

Evaluation of Water Quality Index in the Main Drain River in Iraq by Application of CCME Water Quality

2014· article· en· W1521884744 on OpenAlexaboutno aff
DheyaaW. Abbood, KarimR. Gubashi, HananH. Abbood

Bibliographic record

VenueJournals & Books Hosting (International Knowledge Sharing Platform) · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsWater qualityAlkalinityTotal dissolved solidsBiochemical oxygen demandEnvironmental scienceChemical oxygen demandNitrateEnvironmental engineeringHydrology (agriculture)Environmental chemistryChemistryWastewaterGeology
DOInot available

Abstract

fetched live from OpenAlex

Water Quality Index in the Main Drain River in Iraq by Application the Canadian Council of Ministers of the Environment Water Quality Index(CCME WQI) has been achieved .Fifteen water quality parameters (pH, alkalinity, phosphate(PO 4 ) , nitrate(NO 3 ), sulfate(SO 4 ), chloride(Cl), total hardness(TH), calcium(Ca), magnesium(Mg), total dissolved solids(TDS), biological oxygen demand(BOD), dissolved oxygen(DO), electrical conductivity(EC), sodium (Na) and potassium(K) measured at ten stations along the main drain river (Baghdad, Babylon, Qadiysiah, ThiQar and Al-Basrah). The field work was conducted during the years 2004 until 2011. Based on the results obtained from the index the water quality of main outfall drain river ranged between 26.6- 35.5 which indicate that river has the worst quality due to effect of various pollutant sources. Keywords: Water quality index, Iraq, Main drain, CCME WQI

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)0.025
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.216
Threshold uncertainty score0.867

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0250.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.086
GPT teacher head0.377
Teacher spread0.291 · 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

Citations6
Published2014
Admission routes1
Has abstractyes

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