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In situ reconstruction of crystal shape grown in an axisymmetric Kyropoulos system

2018· article· en· W2894609958 on OpenAlexaff
Gourav Sen, Wenqing Jia, Yoann Malier, Liliana Braescu, Thierry Duffar

Bibliographic record

VenueJournal of Crystal Growth · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCephalopods and Marine Biology
Canadian institutionsInstitut National de la Recherche Scientifique
FundersFonds Unique Interministériel
KeywordsSapphireRotational symmetryCrystal (programming language)Crystal growthMaterials scienceWork (physics)In situTRACE (psycholinguistics)OpticsCrystallographyMechanicsComputer scienceChemistryPhysicsThermodynamicsLaser

Abstract

fetched live from OpenAlex

The Kyropoulos growth system is used to grow large high quality sapphire crystals. But since they grow inside a sealed furnace, there is no established monitoring system to allow observing the growth. This makes it difficult to control the growth parameters ensuring a desired geometrical shape. In the present work a melt-height monitoring system is imagined in the growth system, which would allow the acquisition of the evolving melt level along with the pulling distance of seed and the measured weight of the growing crystal submerged in the melt. Based on all these parameters, it is demonstrated that it would be possible to trace the shape of the growing crystal. The needed accuracy for the measurement tools is studied.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.845
Threshold uncertainty score0.205

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.014
GPT teacher head0.228
Teacher spread0.214 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2018
Admission routes1
Has abstractyes

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