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Record W2053738971 · doi:10.1021/cm0212515

Remote Hydrogen Plasma Chemical Vapor Deposition from (Dimethylsilyl)(trimethylsilyl)methane. 2. Property−Structure Relationships for Resulting Silicon−Carbon Films

2003· article· en· W2053738971 on OpenAlexaff
A. M. Wróbel, A. Walkiewicz‐Pietrzykowska, Dariusz M. Bieliński, J.E. Klemberg-Sapieha, Y. Nakanishi, Toru Aoki, Yoshinori Hatanaka

Bibliographic record

VenueChemistry of Materials · 2003
Typearticle
Languageen
FieldMaterials Science
TopicDiamond and Carbon-based Materials Research
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsSiliconChemical vapor depositionMaterials scienceCarbon filmSubstrate (aquarium)SilaneCarbon fibersThin filmHydrogenMethaneTrimethylsilylAmorphous carbonPlasma-enhanced chemical vapor depositionChemical engineeringAmorphous solidAnalytical Chemistry (journal)Composite materialChemistryNanotechnologyOrganic chemistryOptoelectronics

Abstract

fetched live from OpenAlex

The physical, mechanical, and optical properties of amorphous hydrogenated silicon−carbon (a-Si:C:H) films produced by remote hydrogen plasma chemical vapor deposition (RHP−CVD) from (dimethylsilyl)(trimethylsilyl)silane have been investigated in relation to their chemical structure. The a-Si:C:H films deposited at different substrate temperatures were characterized in terms of their density, adhesion to a substrate, hardness, elastic modulus, friction coefficient, refractive index, and optical band gap. The atomic concentration ratio Si/C, controlled by the substrate temperature, appears to be an important structural parameter strongly influencing properties of the film. On the basis of the results of these studies, reasonable property−structure relationships have been determined.

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 score0.002
Threshold uncertainty score0.007

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)0.0020.000

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 head0.026
GPT teacher head0.255
Teacher spread0.230 · 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

Citations20
Published2003
Admission routes1
Has abstractyes

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