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Record W4396640570 · doi:10.1093/pasj/psae034

Erratum: Optical and soft X-ray light-curve analysis during the 2022 eruption of U Scorpii: Structural changes in the accretion disk

2024· erratum· en· W4396640570 on OpenAlexaff
Katsuki Muraoka, Naoto Kojiguchi, Junpei Ito, Daisaku Nogami, Taichi Kato, Yusuke Tampo, Kenta Taguchi, Keisuke Isogai, Teófilo Arranz, John Blackwell, David Blane, Stephen M. Brincat, Graeme Coates, Walter R. Cooney, Shawn Dvorak, Charles Galdies, Daniel Glomski, Franz-Josef Hambsch, Barbara Harris, John E. Hodge, José Luis Hernández‐Verdejo, Marco Iozzi, Hiroshi Itoh, S. Kiyota, Darrell Lee, M. H. M. A Larsson, Tapio Lahtinen, Gordon Myers, Berto Monard, Mario Morales Aimar, Masayuki Moriyama, Masanori Mizutani, Kazuo Nagai, Thabet AlQaissieh, Aldrin Gabuya, Mohammad Odeh, C. Perelló, A. Pearce, Juan Miguel Perales, David Quiles, F. D. Romanov, David J. Lane, M. Richmond, N. Ruocco, Y. Sano, Mark Spearman, Richard E. Schmidt, Tonny Vanmunster, Pavol A. Dubovský, R. M. Wagner, Guido Wollenhaupt, J. Lorenz, Gerhard Lehmann, Andrea Salewski, Guy G Williamson

Bibliographic record

VenuePublications of the Astronomical Society of Japan · 2024
Typeerratum
Languageen
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsSaint Mary's UniversityRoyal Astronomical Society of CanadaAbbey Ridge ObservatoryStillwater (Canada)
Fundersnot available
KeywordsPhysicsAccretion discLight curveAstrophysicsAccretion (finance)Astronomy

Abstract

fetched live from OpenAlex

In the original version of article [Publ. Astron. Soc. Japan (2024) 76(2); https://doi.org/10.1093/pasj/psae010], the email address was incorrectly typed during the production process. The PDF and HTML versions of the original article are updated with the correct email address upon the publication of this erratum.

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)0.006
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 score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0310.019

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 head0.010
GPT teacher head0.234
Teacher spread0.224 · 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
Published2024
Admission routes1
Has abstractyes

Explore more

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