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Record W2073972258 · doi:10.1016/j.jams.2012.07.017

Neurophysiological Basis of Acupuncture-induced Analgesia—An Updated Review

2012· review· en· W2073972258 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Acupuncture and Meridian Studies · 2012
Typereview
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsAcupunctureMedicineTraditional Chinese medicineAcupuncture analgesiaChronic painNeurosciencePhysical medicine and rehabilitationIntensive care medicineAlternative medicinePhysical therapyPsychologyPathologyElectroacupuncture

Abstract

fetched live from OpenAlex

Acupuncture is an ancient treatment modality that can trace its origins to as far back as 10,000 BC along the banks of the Yellow River in China. It involves the insertion of sharpened objects into specific areas of the body to achieve therapeutic effects. According to the theory of Traditional Chinese Medicine, acupuncture modulates the flow of Qi and Xue through the meridians so that the main organs (Zhongs-Fus) will re-establish homeostasis as governed by the laws of Yin-Yang and the Five Elements. In clinical practice, acupuncture is an efficacious treatment for alleviating acute and chronic pain, but a consensus on its underlying mechanisms is still lacking. This article presents an up-to-date review of the various neurophysiologic mechanisms that have been proposed to produce acupuncture-induced analgesia.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.875
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0160.003
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.191
GPT teacher head0.456
Teacher spread0.265 · 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