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Record W2146206431 · doi:10.1093/mnras/stu2609

Erratum: elemental abundances in Milky Way-like galaxies from a hierarchical galaxy formation model

2015· erratum· en· W2146206431 on OpenAlexaff
G. De Lucia, L. Tornatore, Carlos S. Frenk, A. Helmi, Julio F. Navarro, Simon D. M. White

Bibliographic record

VenueMonthly Notices of the Royal Astronomical Society · 2015
Typeerratum
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPhysicsMilky WayAstrophysicsGalaxyGalaxy formation and evolutionAstronomy

Abstract

fetched live from OpenAlex

Our paper ‘Elemental abundances in Milky Way-like galaxies from a hierarchical galaxy formation model’ was published in MNRAS, 445, 970 (2014). Due to a mistake, the code used for the runs included in the paper did not account correctly for the decrease of the galaxy stellar mass, following restitution of gas to the interstellar medium through stellar winds and supernovae explosions. As a consequence, the stellar masses given in the paper were slightly overpredicted. This affects in particular Figs 7 and 9 of our original manuscript. The updated versions of these figures are reproduced here for completeness (see Figs 1 and 2). Physical properties of our model Milky Way galaxies, for the different simulations used in this study. The open circles show results from the model based on the instantaneous recycling approximation, while filled symbols show the corresponding results based on the updated chemical model presented in our paper. The red horizontal lines in each panel indicate observational estimates. Star formation history for the model Milky Way galaxy in the run Aq-A-3. The solid black line shows the prediction from the reference model used in our study, while the black dashed line shows the corresponding prediction from a run that adopts an instantaneous recycling approximation. The coloured dotted, dot–dashed and long-dashed lines correspond to variations of the latter run with varying parameters. For Aq-B-2, the predicted stellar mass of the model Milky Way galaxy is 4.5 × 1010 M⊙ (against ∼6 × 1010 M⊙ quoted in our paper), that is still in very good agreement with the estimated value for our own Milky Way. The current level of star formation rate is ∼3.6 M⊙ yr−1 (∼2.8 M⊙ yr−1 in our paper), and the present value of the SNIa rate is ∼0.73 (0.58 in our paper) events/century, still higher than a factor of 2 to 3 with respect to the observational estimate of ∼0.2–0.3 events/century. All conclusions of our paper are unaffected.

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)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0200.012

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 head0.211
Teacher spread0.201 · 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 designSimulation or modeling
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

Citations6
Published2015
Admission routes1
Has abstractyes

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