Human papilloma virus (HPV) vaccine: Gardasil reactions
Bibliographic record
Abstract
The World Health Organization (WHO) as well as public health officials in Australia, Canada, Europe, and the United States recommend vaccination of young women against HPV to prevent cervical cancer, and to reduce the number of treatments for cervical cancer precursors. The death rate from cervical cancer in the United States is 3 per 100,000 and in 2011, about 12,000 women were diagnosed with cervical cancer and 4,000 died. In 2009, there were about 34,000 deaths from car accidents in the U.S. for a death rate of 11 per 100,000. HPV infection is extremely common; most sexually active people will be infected with HPV at some point in life. HPV infection usually causes no symptoms, but can cause genital warts and anal cancer in both women and men. The HPV vaccine prevents infection by the HPV types responsible for most cervical cancers. There are two available forms of the HPV vaccine: Cervarix; prevents infection by HPV-16 and HPV-18 and Gardasil; prevents infection by HPV-16, HPV-18, and also HPV-6 and HPV-11. There are many side events may caused by HPV vaccines such as; seizures, fatigue, strokes, dizziness, weakness, headaches, stomach pains, vomiting, muscle pain and weakness, joint pain, auto-immune problems, chest pains, hair loss, appetite loss, shortness of breath, heart problems, personality changes, insomnia, hand/leg tremors, arm/leg weakness, paralysis, itching, rashes, swelling, aching muscles, pelvic pain, nerve pain, menstrual cycle changes, fainting, swollen lymph nodes, night sweats, nausea, temporary vision/hearing loss. This topic review focused mainly on the side effects and health serious problems with Gardasil vaccine.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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".