Afección cardíaca de la enfermedad de Lyme: ¿Por qué México debe de prestar atención a este tema?
Bibliographic record
Abstract
IntroducciónEn un mundo globalizado, con un aumento significativo en la migración y desplazamiento de personas, como se observa en la frontera entre la República Mexicana y los Estados Unidos de América (EE.UU.), existe no solo un intercambio constante de bienes y productos, sino también de patógenos transmisibles entre un país y otro 1,2 .Por otra parte, el aumento en la densidad poblacional en esta zona transfronteriza acarrea que nuevas poblaciones de seres humanos se establezcan en distintas áreas geográficas 1 .De esta manera, se modifica el ecosistema natural donde se establecen, aumentando la posibilidad de contacto con enfermedades transmisibles por vectores y, por ende, la posibilidad del deterioro de la salud en estas poblaciones 1 .Un ejemplo claro de este tipo de enfermedad transmisible por vectores es la borreliosis o enfermedad de Lyme, ocasionada por
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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 | 0.007 | 0.019 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.018 | 0.018 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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.
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".