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Record W4247324252 · doi:10.1186/s40478-016-0273-z

Erratum: Intracellular amyloid β oligomers impair organelle transport and induce dendritic spine loss in primary neurons

2016· erratum· en· W4247324252 on OpenAlexaff
Tomohiro Umeda, EM Ramser, M. Yamashita, Koichi Nakajima, Hiroshi Mori, MA Silverman, Takami Tomiyama

Bibliographic record

VenueActa Neuropathologica Communications · 2016
Typeerratum
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsAmyloid (mycology)IntracellularOrganelleCell biologyMistakeNeuroscienceChemistryBiophysicsPathologyBiologyMedicine

Abstract

fetched live from OpenAlex

The original version of this article unfortunately contained a mistake in the presentation of Fig. 1 in both the PDF and HTML versions of this manuscript [1].In the right panel of the corrected Fig. 1d, the images of Mock cells, which were visualized with GFP and stained with Abeta oligomer-specific antibody 11A1, were replaced with those of APPWT cells, and instead the images of APPWT cells were replaced with those of Mock cells.These images had been incorrectly placed in the original Fig. 1.The correct version of Fig. 1 is presented below.

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)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0310.023

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 head0.031
GPT teacher head0.291
Teacher spread0.260 · 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
Published2016
Admission routes1
Has abstractyes

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