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Record W2063613219 · doi:10.2174/1381612054546798

Targeting Central Plasticity: A New Direction of Finding Painkillers

2005· review· en· W2063613219 on OpenAlexafffund
Min Zhuo

Bibliographic record

VenueCurrent Pharmaceutical Design · 2005
Typereview
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsCanada Research ChairsUniversity of Toronto
FundersNational Institute of Neurological Disorders and StrokeCanadian Institutes of Health ResearchHealth CanadaNational Institutes of HealthCanada Research Chairs
KeywordsNeuroscienceSpinal cordForebrainAnterior cingulate cortexBasal forebrainSensory systemInhibitory postsynaptic potentialCentral nervous systemNeuroplasticityGlutamate receptorMedicineBiologyCognitionInternal medicineReceptor

Abstract

fetched live from OpenAlex

It is well documented that sensory transmission, including pain, receives endogenous inhibitory modulatory influences at dorsal horn of the spinal cord. Recent results, from behavioral to molecular studies, demonstrate that injury caused plastic changes in forebrain areas. In addition to encoding pain, these supraspinal areas may also affect pain transmission in the spinal cord level by activating "top-down" descending facilitatory systems. In this review, I provide review of evidence related to these new progresses, from human brain imaging to work from genetically mutant mice.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.988
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.274
GPT teacher head0.458
Teacher spread0.183 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations21
Published2005
Admission routes2
Has abstractyes

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