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Record W3211423664 · doi:10.1007/s10909-022-02750-8

Development of MKIDs for Measurement of the Cosmic Microwave Background with the South Pole Telescope

2022· article· en· W3211423664 on OpenAlexaff
K. R. Dibert, P. S. Barry, Z. Pan, A. J. Anderson, B. A. Benson, C. L. Chang, K. S. Karkare, J. Li, T. Natoli, M. Rouble, E. Shirokoff, A. A. Stark

Bibliographic record

VenueJournal of Low Temperature Physics · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsMcGill University
FundersArgonne National LaboratoryDivision of Electrical, Communications and Cyber SystemsFermilabHigh Energy PhysicsU.S. Department of EnergyOffice of ScienceUniversity of ChicagoNational Science Foundation
KeywordsCosmic microwave backgroundPhysicsDetectorSouth Pole TelescopePolarimeterTelescopeMicrowaveOpticsCardinal pointPolarization (electrochemistry)ResonatorBolometerTransition edge sensorAstrophysicsAnisotropyPolarimetry

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

The three-model screen

all 5,600 screened works →

All three models called this out of scope.

stratum: aff_core · design weight: 5595.24 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: high

Detector instrumentation development for cosmic microwave background measurement; abstract absent but the title is unambiguous.

GPT-5.6 (high)OUT
genre: empirical
about Canada: no
confidence: high

It develops detector technology for measuring the cosmic microwave background.

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: high

MKID detector development for CMB measurement is experimental physics instrumentation.

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)0.004
metaresearch head score (Gemma)0.002
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 score0.004
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.003

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 head0.023
GPT teacher head0.232
Teacher spread0.209 · 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

Citations15
Published2022
Admission routes1
Has abstractno

Explore more

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