Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.026 | 0.008 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".