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Record W4224991979 · doi:10.3389/fnagi.2022.884077

Corrigendum: Mild Behavioral Impairment Is Associated With Atrophy of Entorhinal Cortex and Hippocampus in a Memory Clinic Cohort

2022· erratum· en· W4224991979 on OpenAlexaff
Veronika Matušková, Zahinoor Ismail, Tomáš Nikolai, Hana Marková, Kateřina Čechová, Zuzana Nedelská, Jan Laczó, Meng Wang, Jakub Hort, Martin Vyhnálek

Bibliographic record

VenueFrontiers in Aging Neuroscience · 2022
Typeerratum
Languageen
FieldMedicine
TopicNeonatal and fetal brain pathology
Canadian institutionsUniversity of CalgaryOntario Brain Institute
Fundersnot available
KeywordsEntorhinal cortexHippocampusNeuroscienceAtrophyCohortMemory impairmentPsychologyMedicineInternal medicineCognition

Abstract

fetched live from OpenAlex

Corrigendum on: Matuskova V, Ismail Z, Nikolai T, Markova H, Cechova K, Nedelska Z, Laczo J, Wang M, Hort J and Vyhnalek M (2021) Mild Behavioral Impairment Is Associated With Atrophy of Entorhinal Cortex and Hippocampus in a Memory Clinic Cohort. Front. Aging Neurosci. 13:643271. doi: 10.3389/fnagi.2021.643271Change of article type:The type of the article changed from Brief Research Report to Original Research Article. This correction is due to the fact that the article type Original Research was a more appropriate format to present our findings.

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)0.002
metaresearch head score (Gemma)0.035
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 score0.039
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.035
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.002
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0030.002
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0390.021

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 head0.020
GPT teacher head0.275
Teacher spread0.255 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

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