Lessons from Epidemiologic Research about Risk Factors, Modifiers, and Progression of Late Onset Alzheimer's Disease in New York City at Columbia University Medical Center
Bibliographic record
Abstract
This review summarizes the findings and importance of 12 articles from research at Columbia University in New York City that were among the most cited in the literature between 2006 and 2011. The 12 articles summarized in this review made important contributions to the field of Alzheimer's disease in the last 5 years. Four of the articles established the Mediterranean diet as a food consumption pattern that may prevent Alzheimer's disease in addition to physical activity. Two of the articles advanced our knowledge of predictors of conversion from mild cognitive impairment to dementia. Four of the articles provided important knowledge of risk factors for the progression of Alzheimer's disease and its complications. Lastly, one of the articles laid the theoretical framework for the study of cognitive reserve, an important modifier of the manifestation of Alzheimer's disease. These studies have advanced our knowledge about risk factors, modifiers, and progression of late onset Alzheimer's disease
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".