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Record W4416779020 · doi:10.3390/proceedings2025129078

The 18th International Workshop on Advanced Infrared Technology and Applications (AITA 2025)

2025· article· en· W4416779020 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOptical Systems and Laser Technology
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsField (mathematics)InfraredRange (aeronautics)

Abstract

fetched live from OpenAlex

First held in 1992, AITA is an international conference that aims to present state-of-the-art research and recent applications in the field of infrared spectral range technology. The AITA workshop has been consistently supported and organized by the following organizations: Fondazione “Giorgio Ronchi”, the Istituto di Fisica Applicata “Nello Carrara” (CNR-IFAC), the Istituto per le Tecnologie della Costruzione (CNR-ITC), the Istituto di Scienza e Tecnologie dell’Informazione “Alessandro Faedo” (CNR-ISTI), the Istituto di Biofisica (CNR-IBF), the Istituto di Scienze dell’Atmosfera e del Clima (CNR-ISAC) and the Politecnico di Torino. The 18th International Workshop on Advanced Infrared Technology and Applications (AITA 2025), held in Kobe, Japan, was organized by the Japanese Society for Non-Destructive Inspection (JSNDI) and co-organized by Kobe University.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.962
Threshold uncertainty score0.178

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 head0.004
GPT teacher head0.229
Teacher spread0.225 · 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

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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