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Record W2886245875 · doi:10.1093/mnras/sty2137

Erratum: Kinematics of the Atomic ISM in M33 on 80 pc scales

2018· erratum· en· W2886245875 on OpenAlexaff
Eric W. Koch, Erik Rosolowsky, Felix J. Lockman, Amanda A. Kepley, Adam K. Leroy, Andreas Schruba, Jonathan Braine, Julianne J. Dalcanton, Megan Johnson, Snežana Stanimirović

Bibliographic record

VenueMonthly Notices of the Royal Astronomical Society · 2018
Typeerratum
Languageen
FieldPhysics and Astronomy
TopicAtomic and Molecular Physics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPhysicsKinematicsAstrophysicsAstronomyGalaxyClassical mechanics

Abstract

fetched live from OpenAlex

The paper ‘Kinematics of the Atomic ISM ifigun M33 on 80 pc scales’ was published in Mon. Not. R. Astron. Soc. 479, 2505–2533 (2018). During the editorial process, a typo was introduced into the title of the paper. The correct title is ‘Kinematics of the Atomic ISM in M33 on 80 pc scales.’ Table C1 also contained incorrect radial bin values for the reported units. We present the corrected values here in Table 1. This error only occurred in the table and has no effect on the results. Corrected version of Table C1. Circular rotation velocities were derived by diskfit (Sellwood & Spekkens 2015). The rotation model is fit to the peak velocity (⁠|$v$|peak) surface of the VLA+GBT data. Corrected version of Table C1. Circular rotation velocities were derived by diskfit (Sellwood & Spekkens 2015). The rotation model is fit to the peak velocity (⁠|$v$|peak) surface of the VLA+GBT data.

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)0.010
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 score0.068
Threshold uncertainty score0.228

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0680.038

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 head0.007
GPT teacher head0.216
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 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
Published2018
Admission routes1
Has abstractyes

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