MétaCan
Menu
Back to cohort
Record W1854368577

Cómo investigar en algo tan subjetivo como el dolor

2006· article· es· W1854368577 on OpenAlexaff
Juan C. Villar

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2006
Typearticle
Languagees
FieldMedicine
TopicMedical research and treatments
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsHumanitiesPhilosophyMedicine
DOInot available

Abstract

fetched live from OpenAlex

About 10 million people in Spain suffer from chronic pain. Despite the identification of important steps in the mechanisms of pain, an unacceptably large number of people live with it chronically. Since Melzack and Wall framed the idea of the central nervous system filtering, assessing and modulating the sensory information with their gate-control theory in 1965, we have advanced our understanding of the pain process. In this paper, I review the pathophysiological and molecular bases of pain, and explain the reasons why we do not have the tools to adequately treat all chronic or acute pain. Of the current 100 clinical trials of pain relievers conducted by investigators from the National Institutes of Health in the United States, most of them are investigating new ways to deliver old standards or alternative approaches. With the help of the new science of genomics, we are discovering that there are genetic differences among individuals in response to drugs.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.187
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.013
GPT teacher head0.296
Teacher spread0.283 · 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; both teacher heads agree on what is shown here.

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
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueDialnet (Universidad de la Rioja)Same topicMedical research and treatmentsFrench-language works237,207