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Record W2158595686 · doi:10.1080/01932690802643980

Role of Bicarbonate Ions in Oil Sands Extraction Systems with a Poor Processing Ore

2009· article· en· W2158595686 on OpenAlex
Hongying Zhao, Trong Dang‐Vu, Jun Long, Zhenghe Xu, Jacob H. Masliyah

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

VenueJournal of Dispersion Science and Technology · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicMinerals Flotation and Separation Techniques
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsOil sandsExtraction (chemistry)BicarbonatePetroleum engineeringMineral processingChemistryEnvironmental scienceGeologyMineralogyMetallurgyMaterials scienceChromatographyOrganic chemistryComposite material

Abstract

fetched live from OpenAlex

This article is dedicated to Dr. Per Stenius, a prominent surface and colloid scientist. In this study, colloidal science was applied to understanding of the role of bicarbonate ions, a dominant anionic component in industrial recycle process water, in bitumen extraction from oil sands. Denver cell flotation tests, zeta potential measurements, water chemistry analysis, and atomic force microscope colloidal force measurements were performed. The results demonstrated that bicarbonate ions were good process aids in buffering extraction slurry pH, precipitating calcium ions from the extraction process water, dispersing fine solids, and decreasing solid-bitumen adhesion, indicating they are beneficial for bitumen extraction.

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 score0.219
Threshold uncertainty score0.142

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 studies0.0000.000
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 head0.006
GPT teacher head0.261
Teacher spread0.255 · 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