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Record W2914653169 · doi:10.21769/bioprotoc.3162

Assessing Spatial Working Memory Using the Spontaneous Alternation Y-maze Test in Aged Male Mice

2019· article· en· W2914653169 on OpenAlexafffund
Emily A.K. Prieur, Nafisa M. Jadavji

Bibliographic record

VenueBIO-PROTOCOL · 2019
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of CanadaCouncil of Ontario Universities
KeywordsAlternation (linguistics)Spontaneous alternationBarnes mazeWorking memoryDementiaWater mazePsychologyDiseaseNeuroscienceT-mazePopulationSpatial memoryCognitive psychologyDevelopmental psychologyMedicineHippocampusSpatial learningCognitionInternal medicine

Abstract

fetched live from OpenAlex

The global population is aging and the prevalence of age-related diseases, such as Alzheimer's disease and vascular dementia is increasing. Understanding functional impairments and disease processes is of vital importance in order to develop effective therapeutics. Using the natural exploratory behavior of mice, the spontaneous alternation y-maze can assess short-term spatial working memory. The protocol for y-maze testing is straightforward and requires minimal resources, as well as animal training and output. Therefore, it can be broadly applied to study short-term memory in aged rodent models.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.134
Threshold uncertainty score0.651

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 head0.069
GPT teacher head0.332
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.

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

Citations219
Published2019
Admission routes2
Has abstractyes

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