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Record W2321875444 · doi:10.3749/canmin.48.5.1041

THE SYSTEM Pd-Sn-Te AT 400 C AND MINERALOGICAL IMPLICATIONS. I. THE BINARY PHASES

2010· article· en· W2321875444 on OpenAlexvenueno aff
Anna Vymazalová, M. Drabek

Bibliographic record

VenueThe Canadian Mineralogist · 2010
Typearticle
Languageen
FieldMaterials Science
TopicMetallurgical and Alloy Processes
Canadian institutionsnot available
Fundersnot available
KeywordsBinary numberGeologyMineralogyGeochemistryMaterials scienceMathematicsArithmetic

Abstract

fetched live from OpenAlex

The phase relations in the system Pd–Sn–Te were investigated with the evacuated silica tube method, and characterized by electron-microprobe analysis and powder X-ray diffraction. The experimental charges were weighed using pure elements or presynthesized binary phases. The isothermal section was investigated at 400°C. Our experiments revealed the existence of three ternary phases: Pd 67 Sn 11 Te 22 , Pd 72 Sn 16 Te 12 and PdSnTe, unknown as minerals. Two previously reported ternary phases, “Pd 73 Sn 10 Te 17 ” and “Pd 71 Sn 7 Te 22 ”, were not identified in this work. The experiments presented have provided useful data concerning the ranges of solid solutions in the ternary system. The phase PdTe 2 , analogue of merenskyite, dissolves up to 3.5 at.% Sn; the phase PdTe, analogue of kotulskite, dissolves up to 19 at.% Sn, and the phase Pd 20 Te 7 dissolves up to 4 at.% Sn. The phase Pd 2 Sn, analogue of paolovite, dissolves up to 4 at.% Te, and the phase Pd 3 Sn, analogue of atokite, dissolves up to 0.5 at.% Te. At 400°C, the following assemblages were encountered: Sn(liq) + SnTe + PdSn 2 , PdSn 2 + SnTe + PdSn, PdSn + SnTe + Pd 20 Sn 13 , SnTe + Te + PdTe 2 , SnTe + Pd(Te,Sn) 2ss + PdSnTe, SnTe + Pd 20 Sn 13 + PdSnTe, Pd 20 Sn 13 + PdSnTe + Pd(Te,Sn) ss , PdSnTe + Pd(Sn,Te) 2ss + Pd(Te,Sn) ss , Pd 20 Sn 13 + Pd 2 (Sn,Te) ss + Pd(Te,Sn) ss , Pd 2 (Sn,Te) ss + PdTe + Pd 67 Sn 11 Te 22 , PdTe + Pd 67 Sn 11 Te 22 + Pd 3 Te 2 , Pd 67 Sn 11 Te 22 + Pd 3 Te 2 + Pd 9 Te 4 , Pd 67 Sn 11 Te 22 + Pd 9 Te 4 + Pd 20 Te 7 , Pd 2 (Sn,Te) ss + Pd 67 Sn 11 Te 22 + Pd 72 Sn 16 Te 12 , Pd 2 (Sn,Te) ss + Pd 73 Sn 14 Te 13 + Pd 3 (Sn,Te) ss , Pd 72 Sn 16 Te 12 + Pd 67 Sn 11 Te 22 + Pd 20 (Te,Sn) 7ss , Pd 3 (Sn,Te) ss + Pd 72 Sn 16 Te 12 + Pd 20 (Te,Sn) 7ss , Pd 3 (Sn,Te) ss + Pd 20 (Te,Sn) 7ss + Pd 17 Te 4 and Pd 3 Sn + Pd 17 Te 4 + Pd.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

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)0.0040.001

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 head0.020
GPT teacher head0.236
Teacher spread0.216 · 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

Citations8
Published2010
Admission routes1
Has abstractyes

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