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Record W1983838931 · doi:10.1002/cjce.5450800404

Determination of the Optimum Conditions for Zinc Extraction from Ore Containing Sphalerite by HCL Solutions

2002· article· en· W1983838931 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2002
Typearticle
Languageen
FieldEngineering
TopicExtraction and Separation Processes
Canadian institutionsnot available
Fundersnot available
KeywordsSphaleriteZincExtraction (chemistry)ChemistryTaguchi methodsParticle sizeMetallurgyMaterials scienceChromatographyComposite materialPyrite

Abstract

fetched live from OpenAlex

Abstract The Taguchi method has been used to determine optimum conditions for the zinc and iron extraction from ore containing sphalerite by HCI solutions. After determining the important parameters in extraction efficiency, an experimental series with two steps was carried out. The optimum conditions for the first series of experiments were found to be reaction temperature 90°C, solid‐to‐liquid ratio 0.091 g/mL, acid concentration 25 mass%, particle size ‐100+200 mesh, stirring speed 300 rpm and reaction time 120 min. Under these conditions, zinc extraction efficiency from ore was approximately 60%. The optimum conditions for the second series of experiments were found to be reaction temperature 90°C, acid concentration 32.5 mass%, solid‐to‐liquid ratio 0.1 g/mL, and reaction time 180 min. Under these conditions, zinc extraction efficiency from the ore was approximately 100%. Alternative working conditions reducing the total cost were also determined.

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 score0.582
Threshold uncertainty score0.271

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 head0.019
GPT teacher head0.227
Teacher spread0.208 · 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