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Record W2218658771 · doi:10.1109/pvsc.2015.7356362

XPS Se 3d peaks in Na-added Bridgman CuInSe2+x

2015· article· en· W2218658771 on OpenAlexaff
Sun-Young Park, C.H. Champness, I. Shih

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicChalcogenide Semiconductor Thin Films
Canadian institutionsMcGill University
Fundersnot available
KeywordsX-ray photoelectron spectroscopyAnalytical Chemistry (journal)CrystallographyChemistryStereochemistryPhysicsOrganic chemistryNuclear magnetic resonance

Abstract

fetched live from OpenAlex

XPS measurements were made on samples from multi-crystalized ingots grown from Bridgman melts, having a composition corresponding to the formula CuInSe2+x, containing added quantities of elemental sodium or Na2Se. Special attention was paid to the XPS peaks Se 3d, Na 1s and O 1s. In particular, two main Se 3d peaks were observed at binding energies of 54.5 and 59 eV. The first of these, previously assigned to ternary CuInSe2, increased with etching depth from the ingot surface but was little affected by the presence of Na. However, the second peak only appeared when Na or Na2Se had been added to the melt. The 59 eV peak also increased somewhat with contaminant oxygen content and was assigned tentatively to Na2SeO3.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.053
GPT teacher head0.248
Teacher spread0.194 · 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 designObservational
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
Published2015
Admission routes1
Has abstractyes

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