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Record W2324730051 · doi:10.7598/cst2012.206

Deflouridation from Aqueous Solutions Using Alum

2012· article· en· W2324730051 on OpenAlex
V. Subhashini, A.V.V.S. Swamy, R. Hema Krishna

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChemical Science Transactions · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicFluoride Effects and Removal
Canadian institutionsYork UniversityUniversity of Toronto
Fundersnot available
KeywordsAlumFluorideChemistryAqueous solutionNuclear chemistryInorganic chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

This research work has been designed to remove the fluoride from aqueous solutions using alum by bench scale experiments.The defluoridating agent, which is easily available even in rural areas, has been selected.The known concentrations of fluoride solution were prepared.The removal of fluorides by the defluoridating agent was studied up to 4 hours for all the fluoride concentrations.The variations in the percentage removal and attainment of equilibrium were recorded.The solutions of 2, 4, 6, 8 and 10 mg/L were prepared.Each Fluoride concentration was tested with 100, 200 and 300 mg/L of alum.The removal of fluoride increased at the rate of 10% per hour up to 55% by 4 h for 100 and 200 mg/L while it rose from 40 to 60% by 4 h equilibration time in 300 mg/L alum solution it reaches 60%.The difference of fluoride removal between 100 and 300 mg/L alum concentrations was only 5% i.e. 0.9 and 0.8 mg/L of fluoride remained after 4 h equilibration time.All the concentrations of defluoridating agent have successfully reduced the fluoride content in waters to permissible limits.

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 categoriesInsufficient 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 score0.145
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.022
GPT teacher head0.245
Teacher spread0.223 · 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