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Record W2063314896 · doi:10.1021/cm061452z

Synthesis of Cu<sub>3</sub>BiS<sub>3</sub> Thin Films by Heating Metal and Metal Sulfide Precursor Films under Hydrogen Sulfide

2006· article· en· W2063314896 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChemistry of Materials · 2006
Typearticle
Languageen
FieldEngineering
TopicChalcogenide Semiconductor Thin Films
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsThin filmMaterials scienceMetalSulfideSubstrate (aquarium)Chemical engineeringHydrogen sulfideMorphology (biology)SulfurNanotechnologyMetallurgy

Abstract

fetched live from OpenAlex

The synthesis of Cu 3 BiS 3 thin films on fused silica substrates by heating Cu−Bi metal precursor films and Cu−S−Bi metal sulfide precursor films in a H 2 S atmosphere has been investigated. We have systematically evaluated the effect of precursor composition and structure, heating temperature, heating profile, and gas composition and pressure. Phase-pure Cu 3 BiS 3 films 250−1000 nm thick were formed, with the morphology of the resulting films being highly dependent on the composition, structure, and heating profile of the precursor films. It was found that precursor composition determines the reaction pathway, and that the reaction pathway is the dominant factor in controlling the morphology of the Cu 3 BiS 3 thin film. This precursor/pathway/morphology relationship results in Cu 3 BiS 3 thin films that are discontinuous or contain hollow pockets between the film and substrate, regardless of the processing conditions employed. The electrical resistivity of these Cu 3 BiS 3 films ranged from 3−200 Ω cm.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
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)0.0000.000

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 head0.009
GPT teacher head0.197
Teacher spread0.189 · 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