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Record W3118311343 · doi:10.1063/5.0040187

Publisher’s Note: “Robust diffraction-limited near-infrared-to-near-ultraviolet wide-field imaging from stratospheric balloon-borne Platforms—Super-pressure Balloon-borne Imaging Telescope performance” [Rev. Sci. Instrum. 91, 034501 (2020)]

2021· erratum· en· W3118311343 on OpenAlexaff
L. Javier Romualdez, Steven J. Benton, A. M. Brown, Paul Clark, Christopher J. Damaren, T. F. Eifler, Aurélien A. Fraisse, M. Galloway, Ajay Gill, John W. Hartley, Bradley Holder, Eric Huff, Mathilde Jauzac, W. C. Jones, David Lagattuta, Jason S.-Y. Leung, Lun Li, Thuy Vy T. Luu, R. Massey, Jacqueline McCleary, James Mullaney, Johanna M. Nagy, C. B. Netterfield, Susan F. Redmond, Jason Rhodes, J. Schmoll, Mohamed M. Shaaban, Ellen Sirks, Sut-Ieng Tam

Bibliographic record

VenueReview of Scientific Instruments · 2021
Typeerratum
Languageen
FieldEngineering
TopicPhotoacoustic and Ultrasonic Imaging
Canadian institutionsCanadian Institute for Theoretical AstrophysicsUniversity of Toronto
FundersScience and Technology Facilities Council
KeywordsBalloonInfraredUltravioletOpticsMaterials scienceDiffractionTelescopeRemote sensingStratospherePhysicsOptoelectronicsGeologyAtmospheric sciencesMedicine

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.096
Threshold uncertainty score0.321

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0030.001
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0960.090

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 head0.008
GPT teacher head0.221
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

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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2021
Admission routes1
Has abstractyes

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