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Record W4386469292 · doi:10.32920/24092124.v1

Holographic Interferometry Real Time Imaging of Refraction Index 2D Distribution and Surface Deformations in Biomedicine

2023· preprint· en· W4386469292 on OpenAlexafffund
Alexandre Douplik, Н. А. Давиденко, Xiao Zheng, Igor Davidenko, V. A. Pavlov, Natalya Chuprina, N. N. Kuranda, S. L. Studzinsky, Aarav Pandya, Hani Mahdi, Aly Ladak, Cecilia Gergely, Frederic Cuisinier

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicLaser Applications in Dentistry and Medicine
Canadian institutionsToronto Metropolitan UniversitySt. Michael's Hospital
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsOpticsInterferometryHolographyHolographic interferometryRefractive indexProtoporphyrin IXMaterials scienceRefractionChemistryPhysicsFluorescence

Abstract

fetched live from OpenAlex

Holographic Interferometry of 2D Imaging of Refraction Index and Surface Deformations were recorded in in real time video: (1) monitoring of local refraction index perturbation at accuracy of 10-4 in transmission mode during heat and photochemical reactions with human hemoglobin using methylene blue, protoporphyrin IX and rhodamine as the photosensitizers and (2) monitoring in reflectance mode of human tooth local mechanical pressure at accuracy of 10-7m.

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: Methods · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.018
GPT teacher head0.319
Teacher spread0.301 · 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
GenreMethods

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

Citations0
Published2023
Admission routes2
Has abstractyes

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