MétaCan
Menu
Back to cohort
Record W2166953803 · doi:10.1504/ijewm.2011.042634

Removal of Pb<SUP align=right>2+</SUP> and Zn<SUP align=right>2+</SUP> ions from Acidic Soil Leachate: a comparative study between electrocoagulation, adsorption and chemical precipitation processes

2011· article· en· W2166953803 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.

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

Bibliographic record

VenueInternational Journal of Environment and Waste Management · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicAdvanced oxidation water treatment
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsLeachateAdsorptionChemistryPrecipitationEnvironmental chemistryIonRadiochemistryNuclear chemistryInorganic chemistry

Abstract

fetched live from OpenAlex

This study evaluates the effectiveness of three physico-chemical processes in treating acidic soil leachate. Chemical precipitation was tested using calcium hydroxide and sodium hydroxide, and electrocoagulation was evaluated via an electrolytic cell using mild steel electrodes, whereas sorption process was tested using cocoa shells as sorbent. Chemical precipitation was as effective as electrocoagulation in reducing both metals (Pb and Zn) under the permissive level (2.0 and 10 mg l –1 respectively), more than 97% of each metal was removed. By comparison, the sorption process using cocoa shells allowed reaching 90% of Pb removal, while the process removed 92% of Zn.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.343
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.243
Teacher spread0.225 · 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