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Record W2053054822 · doi:10.1021/la025508p

Structure Characterization of Porous Silicon Layers Based on a Theoretical Analysis

2002· article· en· W2053054822 on OpenAlexafffund
Caide Xiao, Rabah Boukherroub, James T. C. Wojtyk, Danial D. M. Wayner, John H. T. Luong

Bibliographic record

VenueLangmuir · 2002
Typearticle
Languageen
FieldMaterials Science
TopicSilicon Nanostructures and Photoluminescence
Canadian institutionsNational Research Council CanadaBiotechnology Research InstituteSteacie Institute for Molecular Sciences
FundersNational Research Council Canada
KeywordsPorous siliconCharacterization (materials science)Refractive indexSiliconFabry–Pérot interferometerPorosityMaterials scienceThin filmLayer (electronics)Porous mediumThin layersOptoelectronicsOpticsNanotechnologyComposite materialPhysics

Abstract

fetched live from OpenAlex

A theoretical framework is presented to allow for the determination of the basic structural parameters of a porous silicon thin layer using constructive−destructive positions of Fabry−Perot fringes in air. The structural parameters include film thickness, porosity, and refractive index between 350 and 2000 nm. The model is general and can be applied to determine the optical properties of any thin layer that exhibits a Fabry−Perot fringe pattern. Such information is of importance to fabricate practical sensing devices with low costs for various applications in biomedicine and analytical and environmental chemistry.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.007
GPT teacher head0.209
Teacher spread0.203 · 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 designSimulation or modeling
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

Citations6
Published2002
Admission routes2
Has abstractyes

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