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Record W2010169966 · doi:10.1080/15567030802459297

Adsorption of Cd(II) Ions from Synthetic Waste Water Using Maple Sawdust

2009· article· en· W2010169966 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

VenueEnergy Sources Part A Recovery Utilization and Environmental Effects · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicAdsorption and biosorption for pollutant removal
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMapleSawdustAdsorptionIonChemistryNuclear chemistryOrganic chemistryWaste managementInorganic chemistryBotanyEngineeringBiology

Abstract

fetched live from OpenAlex

Abstract In this study, Cd(II) ions adsorption from synthetic wastewater was investigated in batch mode using locally available maple sawdust. The equilibrium adsorption quantity was determined to be a function of the solution pH, initial concentration, contact time, and sawdust dose. The equilibrium adsorption results closely followed both the Langmuir and the Freundlich isotherms, but somehow it was well fitted to the Langmuir isotherms. According to the parameters of the Langmuir isotherm, the maximum Cd(II) ions adsorption capacity (qe ) onto maple sawdust was found to be 7.429 mg/g that was very close to other adsorbents. Keywords: adsorptioncadmiumisothermmaple sawdustwaste 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)0.000
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 score0.140
Threshold uncertainty score0.999

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)0.0020.000

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 head0.198
Teacher spread0.187 · 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