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Water-pollution study based on the physico-chemical and microbiological parameters of the Semenyih River, Selangor, Malaysia

2012· article· en· W1790014090 on OpenAlex
Fawaz Al-Badaii, Muhd. Barzani Gasim, Mazlin Mokhtar, Mohd Ekhwan Toriman, Sahibin Abd Rahim

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueArab world geographer · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental sciencePollutionWater qualityFishingWater resource managementContaminationFecal coliformSampling (signal processing)Water pollutionRecreationHydrology (agriculture)Coliform bacteriaGeographyFisheryEcologyBiologyBacteria

Abstract

fetched live from OpenAlex

The Semenyih River is one of the most important rivers in Selangor, Malaysia, because it functions as a resource for domestic water supply, fishing, and recreation. It has been adversely affected by urban and industrial wastes since the early 1990s. This study assessed the contamination status of the Semenyih River based on the National Water Quality Standards for Malaysian rivers (NWQS) and the national Water Quality Index (WQI) classifications. Although 10 of the waterquality parameters were within the recommended levels for the NWQS, levels of phosphate (PO4), E. coli, and total coliform bacteria were found to exceed the threshold. The Semenyih River is polluted by human activities from its upstream section (contamination by E. coli, coliform bacteria, and PO4) and is therefore characterized as Class III based on NWQS classificationBased on WQI, the Semenyih River was classified as slightly polluted and placed in Class II for Malaysian rivers at all sampling stations except stations 5 and 7, which were...

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.

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)0.000
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 score0.002
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.018
GPT teacher head0.235
Teacher spread0.217 · 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