MétaCan
Menu
Back to cohort
Record W1634470368 · doi:10.1063/1.2202606

Cryogenic Test Apparatus for a Magnetic and Piezoelectric Actuation System

2006· article· en· W1634470368 on OpenAlexafffund
Paul Francescutti

Bibliographic record

VenueAIP conference proceedings · 2006
Typearticle
Languageen
FieldEngineering
TopicSpacecraft and Cryogenic Technologies
Canadian institutionsUniversity of Victoria
FundersNational Research Council CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsCryostatClampingActuatorPiezoelectricityDetectorMechanical engineeringMagnetMaterials scienceInstrumentation (computer programming)Vacuum chamberAcousticsComputer scienceOpticsElectrical engineeringAerospace engineeringPhysicsEngineering

Abstract

fetched live from OpenAlex

Reconfigurable slit‐masks are used with sensor arrays to observe and measure spectra of stars. In space‐based applications, such as the James Webb telescope, or ground‐based applications where detectors are operated at low temperatures, a reconfigurable slit‐mask system must be capable of operating at cryogenic temperatures while generating a small additional heat load. A proposed design consists of a series of small electromagnetic clamps and piezoelectric actuators, and a single prototype has been manufactured. This work focuses on the development of a test apparatus for experiments characterizing various components of the slit‐mask device as well as preliminary results from those experiments. Development focused on the cryostat used for the experiments as well as the performance of the electromagnetic apparatus for measuring clamping force. Results outline the final designs for apparatus components as well as preliminary results of a nickel iron alloy electromagnetic clamp.

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)0.001
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.009
GPT teacher head0.192
Teacher spread0.183 · 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
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

Citations0
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueAIP conference proceedingsSame topicSpacecraft and Cryogenic TechnologiesFrench-language works237,207