ALERTA: CADA HORA MUEREN EN MÉXICO DOS MUJERES A CAUSA DEL C NCER CERVICOUTERINO
Bibliographic record
Abstract
EN EL PRIMER SIMPOSIO INTERNACIONAL NUEVO MILENIO TEORICO-PR CTICO CON MICROSCOPIO SOBRE PAPILOMA HUMANO Y C NCER CERVICOUTERINO, ORGANIZADO POR LA FACULTAD DE ESTUDIOS SUPERIORES (FES) ZARAGOZA Y LA SECRETARIA DE SALUD, EL CITOPATOLOGO ODON PRADO ASEGURO QUE A PESAR DE LOS GRANDES AVANCES Y LAS INVESTIGACIONES QUE SE REALIZAN EN MEXICO, CADA HORA MUEREN DOS MUJERES A CAUSA DEL C NCER CERVICOUTERINO. EL ESPECIALISTA DE LA ACADEMIA INTERNACIONAL DE CITOPATOLOGIA INFORMO QUE LA ENTIDAD CON MAYOR MORTALIDAD ES OAXACA, EN TANTO QUE EN EL ESTADO DE MEXICO EL MUNICIPIO CON M S ALTO INDICE DE CASOS ES NEZAHUALCOYOTL. EXPLICO QUE ACTUALMENTE EN EL PAIS SE REALIZAN INVESTIGACIONES PARA ELABORAR VACUNAS CONTRA EL PAPILOMA VIRUS HUMANO -CAUSANTE DEL C NCER CERVICOUTERINO-, EL CUAL SE RELACIONA CON EL INICIO DE LA VIDA SEXUAL DE LA MUJER Y SE DESARROLLA POR DIVERSOS FACTORES, COMO LA PREOCUPACION, ESTRES, DISMINUCION DE LAS DEFENSAS INMUNOLOGICAS, ABORTOS Y TABAQUISMO. DIJO QUE ALGUNAS DE LAS MEDIDAS PREVENTIVAS PARA NO CONTRAER EL VIRUS SON NO TENER M S DE UN COMPANERO SEXUAL Y SUSPENDER CIERTOS H BITOS ADQUIRIDOS COMO EL TABAQUISMO. ALFREDO MIRANDA, EN REPRESENTACION DEL DIRECTOR DE LA DEPENDENCIA, JUAN FRANCISCO S NCHEZ, INAUGURO EL SIMPOSIO, QUE SE REALIZO DEL 24 AL 26 DE MAYO, CON LA PARTICIPACION DE PERSONALIDADES COMO ALEXANDER MEISELS, MEDICO EMERITO DE LA UNIVERSIDAD LAVAL DE QUEBEC, CANAD , QUIEN EN 1976 DESCUBRIO DICHO VIRUS.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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".