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Record W2055958169 · doi:10.1364/oic.2004.the1

Mechanical properties of optical coatings

2004· article· en· W2055958169 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

VenueOptical Interference Coatings · 2004
Typearticle
Languageen
FieldEngineering
TopicMetal and Thin Film Mechanics
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsMaterials scienceThin filmMicrostructureDeposition (geology)UltravioletOptical coatingComposite materialMicroelectromechanical systemsOptoelectronicsNanotechnology

Abstract

fetched live from OpenAlex

Control of the mechanical properties is essential for achieving reliable performance of optical thin film systems such as filters, waveguides, optical MEMS, sensors, optical films on plastic substrates and others. Mechanical properties are closely related to the film microstructure and composition, and they strongly depend on deposition technique and process parameters. In order to assure successful performance and high stability of optical films, the mechanical properties have to be optimized together with the optical characteristics and other film functional properties (electrical conductivity, thermal and environmental stability, gas or vapor permeation, hydrophobicity/hydrophilicity, etc.) [1]. Appropriate control of the film composition and of its optical and mechanical properties requires in situ real time monitoring of the deposition process such as the energetic interactions during the film growth (for example, ion bombardment, ultraviolet radiation, and the role of reactive radicals in plasma assisted processes).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.175
Threshold uncertainty score0.797

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.032
GPT teacher head0.226
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