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Record W1968068273 · doi:10.1159/000213358

Alzheimer’s Disease β-Amyloid Precursor Protein in Rat Neural Cells in Culture

2009· article· en· W1968068273 on OpenAlexaff
Masashi Mizuguchi, Kazuhiko Ikeda, Yoshio Namba, Seung Up Kim

Bibliographic record

VenueGerontology · 2009
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAmyloid precursor proteinCell cultureAlzheimer's diseaseBiologyAmyloid (mycology)CellCell biologyAntiserumNeural cellCell typeBiochemistryMolecular biologyAntibodyDiseaseImmunologyPathologyMedicineGenetics

Abstract

fetched live from OpenAlex

Immunochemical studies were performed on Alzheimer's beta-amyloid precursor protein (APP) in rat brain and cultured rat neural cells. Multiple APP subtypes were detected on immunoblots of brain homogenate with several antisera specific for subsequences of APP. In rat neural cell cultures, it was demonstrated that the composition of APP subtypes differed among cell types and subcellular fractions, and that APP subtypes in PC12h cells varied in their heparin binding affinity, suggesting distinct functional roles for different APP subtypes. Compatible with the possible role of APP in cell-matrix interaction, an increase in oligodendroglial APP was observed following their attachment onto poly-L-lysine substratum.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.006

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 head0.041
GPT teacher head0.334
Teacher spread0.293 · 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 designBench or experimental
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
Published2009
Admission routes1
Has abstractyes

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