Effects of Uncontrolled Factors at the Collection Stage on the Canadian Community Health Survey on Nutrition
Bibliographic record
Abstract
nutrition. The main objective of the survey was to estimate usual dietary intake distributions of Canadians in terms of nutrients and food groups. Estimates were required at national and provincial levels for the following 15 key age/sex domains of interest: less than one year old (at the national level only); 1-3 and 4-8 years of age; 9-13, 14-18, 19-30, 31-50, 51-70 and 71+ years of age crossed by sex. The usual dietary intake of a person can be described as their average daily intake over an extended period of time. This is difficult to measure directly from a respondent since individuals would find it hard to report what they consume on average. Therefore, the respondents were asked to report daily intakes where the daily intake of a person is their nutritional intake
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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 | 0.100 | 0.140 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.004 | 0.013 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".