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Record W2078383247 · doi:10.13182/nse13-93

Lithium Adsorption on Magnetite, Lepidocrocite, and Maghemite at Elevated Temperatures

2015· article· en· W2078383247 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueNuclear Science and Engineering · 2015
Typearticle
Languageen
FieldEnergy
TopicIron oxide chemistry and applications
Canadian institutionsCanadian Nuclear Laboratories
Fundersnot available
KeywordsMaghemiteLepidocrociteMagnetiteAdsorptionLithium (medication)Materials scienceInorganic chemistryChemistryMetallurgyPhysical chemistryGoethite

Abstract

fetched live from OpenAlex

Lithium adsorption on the surface of magnetite, lepidocrocite, and maghemite particles was studied at different pH values in LiOH and Li2CO3 solutions under redox conditions and temperatures relevant to the water chemistry of CANadian Deuterium Uranium (CANDU) reactors. Lithium adsorption on maghemite shows a different behavior than on lepidocrocite and magnetite. It is concluded that specific adsorption is the dominant adsorption mechanism on maghemite while lithium adsorption on lepidocrocite and magnetite is nonspecific. However, lithium intercalation into the spinel structure of magnetite and maghemite is also likely. The introduction of O2 reduces lithium adsorption on magnetite. The adsorption behavior of lithium on iron oxides is important to understand the lithium hideout and return in the heat transport system during shutdown and restart of CANDU reactors.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.634
Threshold uncertainty score0.320

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)0.0000.000

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 head0.206
Teacher spread0.195 · 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