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Record W2189145247

Determination of water quality index of river Asa, Ilorin, Nigeria

2013· article· en· W2189145247 on OpenAlex
Ahaneku I. Edwin, Animashaun I. Murtala

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueAdvances in Applied Science Research · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsTurbidityWater qualityEnvironmental scienceIndex (typography)NitrateHydrology (agriculture)Sampling (signal processing)ChemistryEcologyGeologyComputer science
DOInot available

Abstract

fetched live from OpenAlex

Rivers are indispensible freshwater systems that are necessary for the continuation of life. The aim of the study was to assess some physicochemical parameters (pH, Dissolved oxygen, Temperature, Turbidity, Total dissolved solid, Nitrate, Ammonia, Iron, Lead and Chromium) of river Asa and present the complex water quality data of the river in a form that can easily be understood by the technical and non-technical personnel. To achieve the aim, the Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI) was applied on the analytical results of the parameters to obtain a single value that was used to rank the river at each of the sampling station. The results (41.3, 42.3, and 43.6, 52.9) of the Water Quality Index showed that three of the four stations investigated can be ranked as poor and the remaining one as marginal. The implication is that the river failed Drinking Water Quality Index and thus not suited as a source of drinking water.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.001
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 head0.059
GPT teacher head0.415
Teacher spread0.357 · 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