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Record W2620649507

Studies of froth recovery in flotation

2014· dissertation· en· W2620649507 on OpenAlexfundno aff
Reza M. Rahman

Bibliographic record

VenueNOVA (University of Newcastle Australia) · 2014
Typedissertation
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
FundersMcMaster University
KeywordsFroth flotationEnvironmental scienceWaste managementChemistryProcess engineeringEngineering
DOInot available

Abstract

fetched live from OpenAlex

Flotation is a widely used separation process in the mineral industry.The successful operation of a flotation plant depends on a number of factors such as the suspension of mineral particles in the pulp, collector efficiency, bubble particle attachment and froth stability.In addition, the role of the froth zone is crucial in the flotation process as it plays a significant role in controlling the final product grade and recovery.The importance of the froth zone in both laboratory and plant scale flotation cells has been recognised by researchers for many years (Cutting et al., 1986; Feteris et al., 1987; Gorain et al., 1998b; Lynch et al., 1981).Savassi et al. (1997), using an indirect mass balancing technique on a plant scale flotation cell, estimated that the recovery of particles in the froth zone of a rougher cell can vary from 70% to 10% depending on the position of the cell in a rougher bank.As a result 50% of overall plant flotation cell efficiency can be lost due to poor froth 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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.272
GPT teacher head0.343
Teacher spread0.071 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations0
Published2014
Admission routes1
Has abstractyes

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