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Record W4401010461 · doi:10.32396/usurj.v9i2.772

Retracted:

2024· article· en· W4401010461 on OpenAlexvenueaboutno aff
USURJ Team

Bibliographic record

VenueUSURJ University of Saskatchewan Undergraduate Research Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsnot available
Fundersnot available
KeywordsEndocannabinoid systemLicenseMedicineNeurosciencePsychologyPolitical scienceLawInternal medicine

Abstract

fetched live from OpenAlex

"RETRACTED: Alteration of the Endocannabinoid System in Human Alzheimer’s Disease Brain." USURJ: University of Saskatchewan Undergraduate Research Journal 9.2 (2024). DOI: https://doi.org/10.32396/usurj.v9i2.659 After this article was published, one of the co-authors contacted USURJ indicating that they had not been involved with the article or its submission to USURJ. This is in violation of USURJ’s publication agreement, which the corresponding author had signed. Additionally, the article made use of data that the corresponding author was not authorized to share. The journal determined a retraction was appropriate following the COPE Retraction Guidelines (https://publicationethics.org/retraction-guidelines).As the data was not meant to be public, the article has been removed, and the removed contents are no longer available with a Creative Commons license.

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)0.008
metaresearch head score (Gemma)0.102
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
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 score0.988
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.102
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.002
Science and technology studies0.0060.003
Scholarly communication0.0100.006
Open science0.0040.007
Research integrity0.0120.011
Insufficient payload (model declined to judge)0.2210.173

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 head0.033
GPT teacher head0.317
Teacher spread0.284 · 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.

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

Citations0
Published2024
Admission routes2
Has abstractyes

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