MétaCan
Menu
Back to cohort
Record W3022610012 · doi:10.1016/s0716-8640(11)70493-x

Micosis superficiales

2011· article· es· W3022610012 on OpenAlexaff
Hans Walter Gubelin, F. Giesen

Bibliographic record

VenueRevista Médica Clínica Las Condes · 2011
Typearticle
Languagees
FieldMedicine
TopicNail Diseases and Treatments
Canadian institutionsSKiN Health
Fundersnot available
KeywordsDermatologyMedicineHumanitiesArt

Abstract

fetched live from OpenAlex

Las micosis superficiales constituyen una patología prevalente en Dermatología. Son producidas por dos grandes grupos de hongos: las levaduras y los dermatofitos (tiñas). Las primeras ocurren por una alteración de la microbiota que lleva a una proliferación del hongo y las segundas son infecciones exógenas en que el contagio está dado por transmisión de un animal u otra persona. A las tiñas se les denomina por el nombre del área anatómica afectada. En el presente artículo, se entregan las herramientas para el manejo de estas patologías por parte del médico no especialista, se señalan los aspectos más relevantes de la clínica y los medicamentos usados en los diferentes tratamientos orales y tópicos. Se sugieren también los criterios de derivación al especialista. Superficial mycoses are a prevalent dermatological pathology. These are produced by two major groups of fungi, yeasts and dermatophytes (tinea infections or ringworm). The former occur by an alteration of the microbiota that leads to a proliferation of yeasts and the latter are exogenous infections transmitted by an animal or another person. Tinea infections are called by the name of the affected anatomical area. This paper provides tools to non-specialist physicians to manage these conditions, identifying the most relevant clinical aspects and oral and topical treatment options. It also suggests criteria for referral to a specialist.

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), 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.599
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.003

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 head0.059
GPT teacher head0.297
Teacher spread0.239 · 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

Citations12
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueRevista Médica Clínica Las CondesSame topicNail Diseases and TreatmentsFrench-language works237,207