MétaCan
Menu
Back to cohort
Record W2922404812 · doi:10.14510/araj.2019.4221

Itch: the good, the bad and the ugly.

2019· article· en· W2922404812 on OpenAlexvenueno aff
Earl Carstens

Bibliographic record

VenueJournal of the American Romanian Academy of Arts and Sciences · 2019
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsAestheticsPsychologyArt

Abstract

fetched live from OpenAlex

is an unpleasant sensation associated with the desire to scratch. The good: a useful purpose of itch is to warn that insects, itchy plants or parasites have invaded the skin, and scratching removes them. Itchy allergic reactions warn to avoid the offending food or skin contact. Scratching to relieve itch is often pleasurable, possibly because scratching excites nerves that convey "pleasant touch". The less good: Like yawning, itch is contagious: watching someone suffering from itch elicits sensations of itch in the viewer. Interestingly, contagious itch activates the same brain areas as itch evoked by a histamine skin-prick test. The bad: Persistent itch often accompanies skin conditions such as eczema, or liver, kidney and other diseases, and represents a major medical and socioeconomic burden worldwide. Chronic itch does not serve a useful purpose and reduces the quality of life, sometimes to the point of suicide. Chronic itch is very poorly treated; antihistamines are usually ineffective, and there is an unmet for improved therapy. The ugly: In extreme cases, neurological disorders cause itch and excessive scratching that damages the skin. A remarkable patient with post-herpetic itch scratched through her skull to expose the brain. In this case, the pain normally evoked by scratching was absent and thus unable to halt further scratching. A positive note: Recent scientific advances are uncovering mechanisms by which receptors in the skin detect itchy substances, and how itch is relayed to the brain, thus identifying targets for improved treatments that reduce or block abnormal itch.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.286
Teacher spread0.271 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the American Romanian Academy of Arts and SciencesSame topicDermatology and Skin DiseasesFrench-language works237,207