MétaCan
Menu
Back to cohort
Record W2053767620 · doi:10.4161/cib.22571

Jekyll and Hide

2012· article· en· W2053767620 on OpenAlexafffund
Juliane Proft, Norbert Weiss

Bibliographic record

VenueCommunicative & Integrative Biology · 2012
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsUniversity of CalgaryHotchkiss Brain InstituteOntario Brain InstituteAlberta Bible College
FundersAlberta Innovates - Health Solutions
KeywordsDiseasePathophysiologyNeuroscienceNeuroprotectionFunction (biology)MedicineAmyloid (mycology)BioinformaticsMultiple sclerosisBiologyPathologyImmunologyCell biology

Abstract

fetched live from OpenAlex

Neurodegenerative diseases are a burden of our century. Although significant efforts were made to find a cure or relief to this scourge, their pathophysiology remains vague and the cellular function of the key involved proteins is still unclear. However, in the case of amyloid β (Aβ), a key protein concerned in Alzheimer disease, we are now a step closer in the unscrambling of its cellular functions. Interestingly, whereas the exact role of Aβ in the pathophysiology of Alzheimer disease is still unresolved, a recent study revealed a neuroprotective function of Aβ in multiple sclerosis with possibly promising therapeutic benefits.

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: Commentary · Consensus signal: none
Teacher disagreement score0.079
Threshold uncertainty score0.263

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0790.030

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 head0.070
GPT teacher head0.403
Teacher spread0.333 · 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
GenreCommentary

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

Citations4
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueCommunicative & Integrative BiologySame topicAlzheimer's disease research and treatmentsFrench-language works237,207