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Record W4289638405 · doi:10.1038/s41467-022-32345-6

Author Correction: Optical manipulation of Rashba-split 2-dimensional electron gas

2022· erratum· en· W4289638405 on OpenAlexafffund
Matteo Michiardi, Fabio Boschini, H.-H. Kung, MengXing Na, S. K. Y. Dufresne, A. Currie, G. Levy, Sergey Zhdanovich, Arthur K. Mills, D. J. Jones, J. L. Mi, Bo B. Iversen, Philip Hofmann, A. Damascelli

Bibliographic record

VenueNature Communications · 2022
Typeerratum
Languageen
FieldEngineering
TopicAdvanced Materials Characterization Techniques
Canadian institutionsInstitut National de la Recherche ScientifiqueUniversity of British Columbia
FundersMinistère de la Défense NationaleVillum Fonden
KeywordsPhysicsElectronFermi gasCondensed matter physicsQuantum mechanics

Abstract

fetched live from OpenAlex

The original version of this article acknowledged funding from the ‘The Department of National Defense (DND)’. This has been corrected to ‘the Department of National Defence’. This error has now been corrected in both the PDF and HTML versions of the article.

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)0.002
metaresearch head score (Gemma)0.024
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 score0.031
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.024
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0040.002
Scholarly communication0.0020.002
Open science0.0030.002
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0310.016

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 head0.016
GPT teacher head0.291
Teacher spread0.275 · 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

Citations0
Published2022
Admission routes2
Has abstractno

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