US Mortality from Liver Cirrhosis and Alcoholic Liver Disease in 1999–2004: Regional and State Variation in Relation to Per Capita Alcohol Consumption
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
Apparent per-capita alcohol consumption in 2001 in four U.S. regions (West, Northeast, South, and Midwest), and in 50 states was examined in relation to mortality rates (1999-2004) from liver cirrhosis and for the subcategory alcoholic liver disease. Alcohol consumption and mortality rates were highest in the west. The alcoholic liver disease mortality rate by state was strongly correlated with alcohol consumption, but several outlier or mismatch states were identified. Per-capita alcohol consumption should be useful for US public health policy, as suggested for Europe and Canada, but outlier states require further study.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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