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Record W2051291133 · doi:10.1134/1.1623870

Optical properties of hydrogenated amorphous carbon films deposited from glow discharge plasma

2003· article· en· W2051291133 on OpenAlexaff
S. G. Yastrebov, Tatiana Allen, V. I. Ivanov-Omskiĭ, Victor Chan, S. Źükotyński

Bibliographic record

VenueTechnical Physics Letters · 2003
Typearticle
Languageen
FieldMaterials Science
TopicDiamond and Carbon-based Materials Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaterials scienceGlow dischargeAmorphous carbonAmorphous solidFused quartzPlasmaElectronSubstrate (aquarium)Carbon filmRange (aeronautics)Spectral lineCarbon fibersDispersion (optics)QuartzThin filmAtomic physicsOpticsPhysicsChemistryNanotechnology

Abstract

fetched live from OpenAlex

Optical transmission and reflection spectra of the layers of hydrogenated amorphous carbon deposited onto fused quartz substrates from a glow discharge plasma are studied on samples of two series, which differ by the substrate temperatures (200 vs. 400°C) during deposition. The dispersion of the imaginary part of the dielectric function and the spectrum of the effective electron density of states involved in optical transitions are reconstructed. It is shown that this spectrum is adequately described by a sum of two Gaussian contours. The maximum of the first contour falls in the range of low frequencies and reflects the contribution of π electrons to the optical absorption of the material, while the second contour with the maximum in the high-frequency region is assigned to the contribution of σ electrons.

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 score0.001
Threshold uncertainty score0.003

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)0.0010.000

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 head0.015
GPT teacher head0.221
Teacher spread0.206 · 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

Citations4
Published2003
Admission routes1
Has abstractyes

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