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Record W4402740022 · doi:10.1016/j.neurot.2024.e00418

Neuropathology Evaluation of Olney Lesions in Regulatory Drug Development Toxicology Studies

2024· article· en· W4402740022 on OpenAlexaff
Deepa B. Rao, David B. Hawver, David Hall, William H. Jordan

Bibliographic record

VenueNeurotherapeutics · 2024
Typearticle
Languageen
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsGreenfield Research (Canada)
Fundersnot available
KeywordsNeuropathologyNeurologyMedicineDrugDrug developmentNeurochemistryToxicologyPharmacologyInternal medicineBiologyPsychiatry

Abstract

fetched live from OpenAlex

Acute neuropathology findings were first described by John Olney et al (1989) following administration of NMDA receptor antagonists (such as phencyclidine, MK-801 and ketamine) in adult rats, although findings in other species have been reported. Initial descriptions of the lesion included neuronal vacuolation in the cingulate and retrosplenial cortex with subsequent characterization by others to include gliosis and/or neuronal cell death. Given the potential of NMDA receptor antagonists to induce Olney lesions, the Food and Drug Administration often requires that sponsors submit, as a part of their IND submission, additional nonclinical safety data for therapeutic candidates in the NMDA receptor antagonist category.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score0.400

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)0.0000.000

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 head0.175
GPT teacher head0.448
Teacher spread0.274 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2024
Admission routes1
Has abstractyes

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