MétaCan
Menu
Back to cohort
Record W6990737062

Effect of zeolite types LTX and LTA on physicochemical parameters of drinking water sample in Ghana, assisted by light transmission experiment

2018· article· en· W6990737062 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
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

VenueWolverhampton Intellectual Repository and E-Theses (University of Wolverhampton) · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality Monitoring Technologies
Canadian institutionsnot available
FundersGrand Challenges CanadaLeverhulme Trust
KeywordsTurbidityRaw waterZeoliteLight intensityWater treatmentIntensity (physics)Tap waterRaw materialMetal
DOInot available

Abstract

fetched live from OpenAlex

In this study, the effect of zeolite types LTX and LTA, assisted by laser light transmission experiment on the physico-chemical\nparameters of drinking water samples have been investigated. Water samples were collected from rivers, streams, and wells from\nCentral and Volta regions of Ghana, and zeolite masses of 0.2 and 0.5 g were added to 100 ml portions of the samples in turn.\nLaser light intensities transmitted through the samples before and after zeolite addition were measured and recorded. The results obtained showed raw water turbidity of 33.8 NTU and treated water turbidity of 3.0 NTU (WHO recommends the limit of 5 NTU for drinking water); transmitted light intensity for the raw and treated water samples of 0.3122 AU and 0.3345 AU, respectively. Our results also showed that water turbidity highly correlates the transmitted light intensity, and water conductivity depends on dissolved metal concentrations and temperature.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.864

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 studies0.0000.001
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 head0.011
GPT teacher head0.219
Teacher spread0.208 · 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