MétaCan
Menu
Back to cohort
Record W2921604915 · doi:10.1042/bst028a016

Presenilin Function: Connections to Alzheimer's Disease and Signal Transduction

2000· article· en· W2921604915 on OpenAlexaffabout
Paul E. Fraser, Gang Yu, Masaki Nishimura, Lyne Lévesque, Howard T.J. Mount, David Westaway, Peter St George‐Hyslop

Bibliographic record

VenueBiochemical Society Transactions · 2000
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsQueen (butterfly)MedicineLibrary scienceZoologyBiology

Abstract

fetched live from OpenAlex

Conference Abstract| February 01 2000 Presenilin Function: Connections to Alzheimer's Disease and Signal Transduction P.E. Fraser; P.E. Fraser 1Centre for Research in Neurodegenerative Diseases, Depts. of Medical Biophysics, Medicine (Neurology), Laboratory Medicine and Pathobiology, University of Toronto, 6 Queen's Park Crescent West, Toronto, Ontario, Canada MSS 3H2 Search for other works by this author on: This Site PubMed Google Scholar G. Yu; G. Yu 1Centre for Research in Neurodegenerative Diseases, Depts. of Medical Biophysics, Medicine (Neurology), Laboratory Medicine and Pathobiology, University of Toronto, 6 Queen's Park Crescent West, Toronto, Ontario, Canada MSS 3H2 Search for other works by this author on: This Site PubMed Google Scholar M. Nishimura; M. Nishimura 1Centre for Research in Neurodegenerative Diseases, Depts. of Medical Biophysics, Medicine (Neurology), Laboratory Medicine and Pathobiology, University of Toronto, 6 Queen's Park Crescent West, Toronto, Ontario, Canada MSS 3H2 Search for other works by this author on: This Site PubMed Google Scholar L. Lévesque; L. Lévesque 1Centre for Research in Neurodegenerative Diseases, Depts. of Medical Biophysics, Medicine (Neurology), Laboratory Medicine and Pathobiology, University of Toronto, 6 Queen's Park Crescent West, Toronto, Ontario, Canada MSS 3H2 Search for other works by this author on: This Site PubMed Google Scholar H.T.J. Mount; H.T.J. Mount 1Centre for Research in Neurodegenerative Diseases, Depts. of Medical Biophysics, Medicine (Neurology), Laboratory Medicine and Pathobiology, University of Toronto, 6 Queen's Park Crescent West, Toronto, Ontario, Canada MSS 3H2 Search for other works by this author on: This Site PubMed Google Scholar D. Westaway; D. Westaway 1Centre for Research in Neurodegenerative Diseases, Depts. of Medical Biophysics, Medicine (Neurology), Laboratory Medicine and Pathobiology, University of Toronto, 6 Queen's Park Crescent West, Toronto, Ontario, Canada MSS 3H2 Search for other works by this author on: This Site PubMed Google Scholar P. St George-Hyslop P. St George-Hyslop 1Centre for Research in Neurodegenerative Diseases, Depts. of Medical Biophysics, Medicine (Neurology), Laboratory Medicine and Pathobiology, University of Toronto, 6 Queen's Park Crescent West, Toronto, Ontario, Canada MSS 3H2 Search for other works by this author on: This Site PubMed Google Scholar Biochem Soc Trans (2000) 28 (1): A16. https://doi.org/10.1042/bst028a016 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share MailTo Twitter LinkedIn Cite Icon Cite Get Permissions Citation P.E. Fraser, G. Yu, M. Nishimura, L. Lévesque, H.T.J. Mount, D. Westaway, P. St George-Hyslop; Presenilin Function: Connections to Alzheimer's Disease and Signal Transduction. Biochem Soc Trans 1 February 2000; 28 (1): A16. doi: https://doi.org/10.1042/bst028a016 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsBiochemical Society Transactions Search Advanced Search This content is only available as a PDF. © 2000 Biochemical Society2000 Article PDF first page preview Close Modal You do not currently have access to this content.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.425
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.023
GPT teacher head0.286
Teacher spread0.263 · 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 teacher head, not a consensus.

Study designOther design
Domainnot available
GenreEmpirical

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
Published2000
Admission routes2
Has abstractyes

Explore more

Same venueBiochemical Society TransactionsSame topicAlzheimer's disease research and treatmentsFrench-language works237,207