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Record W4210697246 · doi:10.1038/s41422-022-00616-y

Inhibiting Hv1 channel in peripheral sensory neurons attenuates chronic inflammatory pain and opioid side effects

2022· article· en· W4210697246 on OpenAlex
Qiansen Zhang, Yimin Ren, Yiqing Mo, Peipei Guo, Ping Liao, Yuncheng Luo, Jie Mu, Zhuo Chen, Yang Zhang, Ya Li, Linghui Yang, Daqing Liao, Jie Fu, Juwen Shen, Wei Huang, Xuewen Xu, Yanyan Guo, Lianghe Mei, Yunxia Zuo, Jin Liu, Huaiyu Yang, Ruotian Jiang

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCell Research · 2022
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsnot available
FundersFundamental Research Funds for the Central UniversitiesXuzhou Medical UniversitySichuan UniversityEast China Normal UniversityMinistry of Science and Technology of the People's Republic of ChinaWest China Hospital, Sichuan UniversityNational Natural Science Foundation of ChinaDepartment of Science and Technology of Sichuan ProvinceUniversity of Ottawa
KeywordsNociceptionHyperalgesiaNociceptorStimulationNeuroinflammationInflammationPharmacologyPeripheralOpioidNeuroscienceMicrogliaChronic painAnalgesicCentral nervous systemMedicineBiologyImmunologyInternal medicineReceptor

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.003
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.355
Threshold uncertainty score0.535

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.032
GPT teacher head0.313
Teacher spread0.280 · 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