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Record W2468659108 · doi:10.1002/dev.21443

Early weaning impairs a social contagion of pain‐related stretching behavior in mice

2016· article· en· W2468659108 on OpenAlexaff
Takefumi Kikusui, Yukino Ishio, Miho Nagasawa, Jeffrey S. Mogil, Kazutaka Mogi

Bibliographic record

VenueDevelopmental Psychobiology · 2016
Typearticle
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsMcGill University
FundersJapan Society for the Promotion of Science
KeywordsWeaningEmpathyNoxious stimulusStimulus (psychology)PsychologyDevelopmental psychologyAudiologyInternal medicineNociceptionMedicineSocial psychologyPsychotherapist

Abstract

fetched live from OpenAlex

Pain sensitivity in mice can be modulated through exposure to familiar individuals. This phenomenon is considered a form of emotional contagion, thought to be an evolutionary precursor of empathy in mammals. In particular, mother-infant interactions early in life can considerably alter empathy development. Here, we demonstrated that pairs of mice that were simultaneously administered with a noxious stimulus (acetic acid) exhibited more pain-related behaviors than when one of the pair was treated with a noxious stimulus. However, these differences disappeared when mice were separated from the dam 1 week earlier than the typical weaning age. Even when mice were alone, when treated with acetic acid, early weaning decreased their pain response. These results suggested that the disruption of mother-infant bonding through early weaning impairs pain contagion and modulates sensitivity to pain.

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)0.000
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.316
Teacher spread0.291 · 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

Citations10
Published2016
Admission routes1
Has abstractyes

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