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Record W3206075471 · doi:10.1038/s41467-021-26377-7

Author Correction: Fingerprinting the Cretaceous-Paleogene boundary impact with Zn isotopes

2021· erratum· en· W3206075471 on OpenAlexaff
Ryan Mathur, Brandon Mahan, Marissa Spencer, Linda Godfrey, Neil H. Landman, Matthew P. Garb, D. Graham Pearson, Sheng‐Ao Liu, Francisca E. Oboh‐Ikuenobe

Bibliographic record

VenueNature Communications · 2021
Typeerratum
Languageen
FieldEarth and Planetary Sciences
TopicGeochemistry and Elemental Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPaleogeneBoundary (topology)CretaceousError barIsotopeInborn error of metabolismPaleontologyStandard errorComputer scienceStatisticsGeologyAlgorithmMathematicsBiologyPhysicsMathematical analysisNuclear physics

Abstract

fetched live from OpenAlex

The original version of this Article contained an error in the ‘Methods’, which incorrectly read ‘The error of the standard compared to itself throughout the four sessions is ±0.05‰ and is considered a conservative estimation of error as duplicate analyses of the same solutions and complete procedural duplicates of the USGS BVHO-2 rock standard (+0.01 ±0.03‰, 2σ, n = 8, overlapping values found in) are significantly less.’ The correct version states ‘(+0.28 ±0.03‰, 2σ, n = 8, overlapping values found in)’ in place of ‘(+0.01 ±0.03‰, 2σ, n = 8, overlapping values found in)’.

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)0.003
metaresearch head score (Gemma)0.043
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 score0.064
Threshold uncertainty score0.214

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.043
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0040.002
Scholarly communication0.0030.002
Open science0.0030.002
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0640.039

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 head0.014
GPT teacher head0.267
Teacher spread0.253 · 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
Published2021
Admission routes1
Has abstractyes

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Same venueNature CommunicationsSame topicGeochemistry and Elemental AnalysisFrench-language works237,207