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Record W2787674377 · doi:10.1139/cjp-2017-0750

Current status of Turkish accelerator and radiation laboratory in Ankara: the TARLA facility

2018· article· en· W2787674377 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Physics · 2018
Typearticle
Languageen
FieldEngineering
TopicParticle accelerators and beam dynamics
Canadian institutionsnot available
FundersAnkara Universitesi
KeywordsPhysicsTurkishBremsstrahlungResearch centerFree-electron laserParticle acceleratorNuclear physicsNuclear engineeringMedical physicsSystems engineeringAerospace engineeringRadiationElectronOpticsEngineeringMedicineBeam (structure)

Abstract

fetched live from OpenAlex

The Turkish Accelerator and Radiation Laboratory in Ankara, abbreviated as the TARLA facility, is proposed as the first facility of Turkish Accelerator Center (TAC) project. TARLA is under construction in Golbasi campus of Ankara University by coordination of the Institute of Accelerator Technologies (IAT). TARLA is designed to generate free-electron laser (FEL) pulses in mid- and far-infrared regions as well as Bremsstrahlung radiation up to 30 MeV. TARLA is based on superconducting electron accelerators to be operated between 10 and 40 MeV. The main goal of the TARLA facility is to build up a user facility to open up new opportunities for interdisciplinary scientific research and applications, such as materials science, medicine, nanotechnology, life sciences, etc. In this study, main characteristics and subsystems of the TARLA facility are explained and the current status of installation and test studies are given as well. Finally, user and scientific research potential of the facility are also discussed.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score0.321

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 head0.012
GPT teacher head0.225
Teacher spread0.213 · 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