MétaCan
Menu
Back to cohort
Record W4232398210 · doi:10.22587/ajbas.2018.12.8.9

Nitrogen Enrichment of Activated Carbon Made From Coconut Shell of Ivory Coast and its Application in Cd2+ Ions Removal

2018· article· en· W4232398210 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

VenueAUSTRALIAN JOURNAL OF BASIC AND APPLIED SCIENCES · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicAdsorption and biosorption for pollutant removal
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsActivated carbonNitrogenShell (structure)Carbon fibersIonChemistryCote d ivoirePulp and paper industryEnvironmental scienceEnvironmental chemistryMaterials scienceAdsorptionOrganic chemistryArtHumanitiesComposite materialEngineering

Abstract

fetched live from OpenAlex

The textural parameters of all samples were determined by nitrogen adsorption experiments at liquid nitrogen temperature (77 K) with a Quantachrom Autosorb 1 instrument. First, the samples were outgassed at 150C for 6h under the vacuum prior to the N2 adsorption/desorption tests. The surface areas were calculated by applying the BET (Brunauer-Emmet-Teller) equation on the first part of the isotherms. Micropore analysis was made by the t-method. The total pore volume in each sample was evaluated from the amount of nitrogen adsorbed at the highest relative pressure examined.

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 score0.085
Threshold uncertainty score0.292

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 head0.019
GPT teacher head0.248
Teacher spread0.229 · 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