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A Novel Filter Auto-Mounter for the BioXAS Beamlines at the CLS

2017· article· en· W3193486617 on OpenAlex
S. Jeromy Carrière, D. Beauregard, Brian Schneider, Garth Steel, D. Taylor

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJACOW · 2017
Typearticle
Languageen
FieldMedicine
TopicPhotodynamic Therapy Research Studies
Canadian institutionsChicken Farmers of Saskatchewan (Canada)
Fundersnot available
KeywordsFilter (signal processing)Computer scienceComputer vision

Abstract

fetched live from OpenAlex

The BioXAS beam-lines are a recently completed group of beam-lines at the Canadian Light Source (CLS). The BioXAS EXAFS beam-lines host three 32-element germanium detectors. There was a need to introduce an exchangeable filter between the soller slits and the 32-element germanium detectors. It was further required to have an automated filter exchange system so that users could quickly vary filter thicknesses and types to determine the effect on the signal. An auto-mounting filter system was created to meet these requirements and allows users to quickly exchange filters without breaking experimental hutch lockup. The auto-mounter cartridge can hold up to ten slides that measure 100mm X 55mm in cross-section. The device inserts slides in an extremely small envelope between the soller slits and the liquid helium cryostat. The auto-mounter assembly also houses the stages required to actuate the soller slits laterally and vertically. During device commissioning we performed 800 consecutive successful filter exchanges as part of a stress test. The spatial constraints, mechanics, and fabrication of the device will be presented. Software development will also be 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)0.001
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: Empirical
Teacher disagreement score0.623
Threshold uncertainty score0.749

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.061
GPT teacher head0.382
Teacher spread0.322 · 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