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Record W1800284117 · doi:10.1002/0471142301.ns0810cs14

Rodent Models of Depression: Learned Helplessness Induced in Mice

2001· article· en· W1800284117 on OpenAlexaff
Hymie Anisman, Zul Merali

Bibliographic record

VenueCurrent Protocols in Neuroscience · 2001
Typearticle
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsUniversity of OttawaCarleton University
Fundersnot available
KeywordsLearned helplessnessStressorRodentRodent modelKnockout mouseDepression (economics)NeurosciencePsychologyShock (circulatory)Aversive StimulusTransgeneDevelopmental psychologyMedicineBiologyEndocrinologyInternal medicineReceptorGenetics

Abstract

fetched live from OpenAlex

Uncontrollable stressors induce a variety of behavioral disturbances that are in many ways reminiscent of the symptoms that characterize clinical depression. These deficits are evident across a range of species, including mice. Given the increasing focus on genetic techniques involving mice to identify the mechanisms subserving these behavioral disturbances (e.g., recombinant, knockout, and transgenic strains), it is of particular interest to provide a detailed description of the method to induce behavioral deficits in response to uncontrollable stressors. This unit describes the procedure used to assess the effects of controllable and uncontrollable shock on subsequent shock escape performance in mice using an escape-delay procedure.

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)0.001
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 score0.154
Threshold uncertainty score0.867

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.221
GPT teacher head0.413
Teacher spread0.191 · 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

Citations51
Published2001
Admission routes1
Has abstractyes

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