Additional file 1 of The role of education on Cancer amenable mortality among non-Hispanic blacks & non-Hispanic whites in the United States (1989–2018)
Bibliographic record
Abstract
Additional file 1: Table S1. Adjusted amenable cancer mortality rates (X100,000) and 95% Confidence Intervals (CI) among NHW and NHB by gender and education level. United States, 1989–2018. Table S2. Adjusted amenable colon and rectum* mortality rates (X100,000) and 95% Confidence Intervals (CI) among NHW and NHB by gender and education level. United States, 1989–2018. Table S3. Adjusted amenable skin cancer* mortality rates (X100,000) and 95% Confidence Intervals (CI) among NHW and NHB by gender and education level. United States, 1989–2018. Table S4. Adjusted amenable lung and trachea cancer* mortality rates (X100,000) and 95% Confidence Intervals (CI) among NHW and NHB men by education level. United States, 1989–2018. Table S5. Adjusted amenable Hodgkin’s disease* mortality rates (X100,000) and 95% Confidence intervals (CI) among NHW and NHB by gender and education level. United States, 1989–2018. Table S6. Adjusted amenable leukemia* mortality rates (X100,000 and 95% Confidence intervals (CI) among NHW and NHB (25–74 years of age) by gender and education level. United States, 1989–2018. Table S7. Adjusted amenable testis cancer* rates (X100,000 and 95% Confidence intervals (CI) among NHW and NHB men by education level. United States, 1989–2018. Table S8. Adjusted amenable prostate cancer* mortality rates (X100,000 and 95% Confidence intervals (CI) among NHW and NHB men by education level. United States, 1989–2018. Table S9. Adjusted amenable breast cancer* mortality rates (X100,000) and 95% Confidence intervals (CI) among NHW and NHB by education level. United States, 1989–2018. Table S10. Adjusted amenable cervix cancer* mortality rates (X100,000) and 95% Confidence intervals (CI) among NHW and NHB by education level. United States, 1989–2018. Table S11. Adjusted amenable body of uterus cancer* mortality rates (X100,000) and 95% Confidence intervals (CI) among NHW and NHB female by education level. United States, 1989–2018. Table S12. Adjusted amenable other type cancers* mortality rates (X100,000) and 95% Confidence intervals (CI) among NHW and NHB by gender and education level. United States, 1989–2018.
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 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.710 | 0.098 |
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".