Spatial Analysis of HPV Cancer Mortality in Persistent Poverty Counties in the US (1999-2020)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Human papillomavirus (HPV) is the most common sexually transmitted infection in the United States, with nearly 90% of men and 80% of women contracting an HPV strain at some point in their lives.Of these infections, approximately 50% involve high-risk, cancer-causing strains (Vickers et al., 2019).While many HPV infections are low-risk and resolve on their own, certain high-risk strains are linked to cancer development.Data from the Centers for Disease Control and Prevention (CDC) for 2017-2021 reports over 47,100 new cases of HPV-related cancer annually (Centers for Disease Control and Prevention, 2024).Globally, HPV accounts for 5% of all cancers (National Cancer Institute, 2023).Cervical cancer is the fourth most common cancer in women globally and caused an estimated 342,000 deaths in 2020 (World Health Organization, 2024).Cervical cancer is the most common HPV-associated cancer among women, and oropharyngeal cancers (cancers of the back of the throat, including the base of the tongue and tonsils) are the most common among men in the US (Centers for Disease Control and Prevention, 2024).
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it