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Record W1534740532 · doi:10.1002/9780470027318.a2410

Nickel Ore and Metals Analysis

2000· other· en· W1534740532 on OpenAlex
J.R. Johnston

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

VenueEncyclopedia of Analytical Chemistry · 2000
Typeother
Languageen
FieldEngineering
TopicMetallurgical Processes and Thermodynamics
Canadian institutionsLakes Environmental (Canada)
Fundersnot available
KeywordsStandardizationSample (material)NickelNickel sulfideMetallurgyEngineeringPolitical scienceChemistryLawMaterials science

Abstract

fetched live from OpenAlex

Abstract This article examines contemporary routine and umpire quality methods for the analysis of nickel ores, nickel metal and nickel alloys. Sample preparation and sampling are also discussed, but the emphasis is on sample preparation and analysis, since sampling is all too often done by people not part of the analytical laboratory. In order to analyze fully these materials, a laboratory must have at its disposal a wide range of instruments and methods, from the classical to the most modern, and frequently combinations of both. In keeping with the theme of this Encyclopedia, detailed methods are not given, and the reader should consult the references. The references themselves cover the period from roughly 1972 through 1997 but are not to be considered a definitive list. Unfortunately, most of the modern methods of analysis developed by chemists in nickel producers' laboratories have not been published, except as international or national standards. As an aid to the reader, a summary of International Organization for Standardization (ISO) and national standards is given immediately before the References. The author apologizes for any errors or omissions. The section on nickel ores is divided into two broad classifications: sulfide and lateritic ores. Greater emphasis is given to the sample preparation of laterites since they are more difficult to handle and many laboratories do not have as much experience working with them as with sulfides. Each broad classification is broken down into the analysis of “pay metals”, which are the reason the ore is mined, elements of environmental concern and other elements which are required for the metallurgical processing of the ore. Products from refineries fall into three broad categories: nickel metal in various forms, nickel oxides and ferronickel. For nickel metal, the emphasis is on trace‐element determinations; for nickel oxides and ferronickel, methods for the determination of nickel are also discussed. Nickel alloys cover a wide range of materials, from stainless steels to high‐nickel “superalloys”. For these samples the analytical requirements range from the major components of the alloy to minor alloying constituents to trace‐element determinations. As an aid to the analytical chemist in the laboratory, tables are presented summarizing recommended methods of analysis, and in most instances an alternative method, in case the laboratory does not have the equipment necessary to select the first choice. These methods have proven themselves in the laboratories of nickel producers and commercial laboratories familiar with the analysis of nickel‐bearing samples.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.092
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0130.000

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 head0.005
GPT teacher head0.210
Teacher spread0.205 · 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