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Record W3138569706 · doi:10.1080/08827508.2021.1900175

Current Status of the Effect of Seawater Ions on Copper Flotation: Difficulties, Opportunities, and Industrial Experience

2021· article· en· W3138569706 on OpenAlexaff
Constanza Cruz, Yesica L. Botero, Ricardo I. Jeldres, Lina Uribe, Luís A. Cisternas

Bibliographic record

VenueMineral Processing and Extractive Metallurgy Review · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicMinerals Flotation and Separation Techniques
Canadian institutionsUniversité du Québec en Abitibi-Témiscamingue
FundersAgencia Nacional de Investigación y DesarrolloUniversidad de Antofagasta
KeywordsSeawaterCopperCurrent (fluid)Environmental scienceSulfideCopper sulfideChemistryEnvironmental chemistryMetallurgyEnvironmental engineeringMaterials scienceGeologyOceanography

Abstract

fetched live from OpenAlex

The limited availability of conventional water resources and inefficient water management has resulted in seawater use in the flotation process of copper sulfide ores at several concentrator plants. The flotation process in seawater is complex and multifaceted, as its chemistry is different compared to fresh water. This article presents the current status of the effect of seawater ions on flotation of copper sulfides ores, aiming to identify the main difficulties and opportunities related to this issue. This article also presents the current industrial experience of the flotation of copper sulfide ores with seawater and possible solutions to improve their performance.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.074
GPT teacher head0.328
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations26
Published2021
Admission routes1
Has abstractyes

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