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Record W4386046125 · doi:10.1177/17448069231197158

Sound-induced analgesia cannot always be observed in adult mice

2023· article· en· W4386046125 on OpenAlexafffund
Qi‐Yu Chen, Jinjin Wan, Mianxian Wang, Shanshan Hong, Min Zhuo

Bibliographic record

VenueMolecular Pain · 2023
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsAnalgesicActive listeningSound (geography)Chronic painMechanism (biology)MedicineNoise (video)AnesthesiaPsychologyNeuroscienceAudiologyComputer scienceCommunicationAcoustics

Abstract

fetched live from OpenAlex

Music seems promising as an adjuvant pain treatment in humans, while its mechanism remains to be illustrated. In rodent models of chronic pain, few studies reported the analgesic effect of music. Recently, Zhou et al. stated that the analgesic effects of sound depended on a low (5 dB) signal-to-noise ratio (SNR) relative to ambient noise in mice. However, despite employing multiple behavioral analysis approaches, we were unable to extend these findings to a mice model of chronic pain listening to the 5 dB SNR.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.773
Threshold uncertainty score0.743

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.074
GPT teacher head0.338
Teacher spread0.264 · 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 designObservational
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

Citations3
Published2023
Admission routes2
Has abstractyes

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