“Drink at Least 8 Glasses of Water a Day to Be Healthy???”
Bibliographic record
Abstract
The saying "drink at least 8 glasses of water per day to be healthy" has had little supporting evidence. The purpose of this article was to briefly introduce the role of hydration in health in order to explore in more detail recent observational studies of hyperhydration in chronic kidney disease (CKD) in man. The Modification of Diet in Renal Disease study initially noted a negative association between increasing urine output and progression of CKD that was absent when corrected for baseline variables. Recently, data from 2 different cross-sectional populations found those with the highest fluid intake had a significantly lower risk of CKD. In a longitudinal, community-based cohort study adjusted for baseline variables, decline in kidney function was significantly slower in those with higher versus lower baseline urine volume. These new and contradictory results underline the need for a randomized controlled study to test the hypothesis that increased fluid intake will slow renal decline.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".