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Record W2141236778 · doi:10.5194/acp-15-8455-2015

Corrigendum to "In situ vertical profiles of aerosol extinction, mass, and composition over the southeast United States during SENEX and SEAC<sup>4</sup>RS: observations of a modest aerosol enhancement aloft" published in Atmos. Chem. Phys., 15, 7085–7102, 2015

2015· erratum· en· W2141236778 on OpenAlexaff
N. L. Wagner, C. A. Brock, W. M. Angevine, A. J. Beyersdorf, Pedro Campuzano‐Jost, Douglas A. Day, J. A. de Gouw, Glenn S. Diskin, T. D. Gordon, M. Graus, J. S. Holloway, G. Huey, J. L. Jiménez, D. A. Lack, J. Liao, X. Liu, M. Z. Markovic, A. M. Middlebrook, Tomáš Mikoviny, Jeff Peischl, A. E. Perring, M. Richardson, Thomas B. Ryerson, Jaroslav Schwarz, C. Warneke, André Welti, Armin Wisthaler, Luke D. Ziemba, Daniel M. Murphy

Bibliographic record

VenueAtmospheric chemistry and physics · 2015
Typeerratum
Languageen
FieldEnvironmental Science
TopicAtmospheric aerosols and clouds
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsAerosolExtinction (optical mineralogy)In situAtmospheric sciencesExtinction eventComposition (language)Environmental scienceChemistryMeteorologyPhysicsMineralogyDemographyArtPopulation

Abstract

fetched live from OpenAlex

No abstract available.

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)0.011
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 score0.096
Threshold uncertainty score0.322

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0960.058

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 head0.019
GPT teacher head0.234
Teacher spread0.215 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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