Quantification of vitamin D3 in commercial dog foods and comparison with Association of American Feed Control Officials recommendations and manufacturer-reported concentrations
Bibliographic record
Abstract
Abstract OBJECTIVE To quantify vitamin D3 (VitD3) concentrations in commercial dog foods and compare those concentrations with Association of American Feed Control Officials (AAFCO) recommendations and manufacturer-reported concentrations. DESIGN Cross-sectional study. SAMPLE 82 commercial dog foods. PROCEDURES Samples of commercially available dog foods were obtained from owners of healthy dogs in the Guelph, ON, Canada, area and owners of dogs that were patients at the Ontario Veterinary College Health Sciences Centre's Mona Campbell Centre for Animal Cancer. For each food, the VitD3 concentration was determined by high-performance liquid chromatography–tandem mass spectrometry, and adherence to AAFCO and National Research Council recommendations was assessed. Analyzed VitD3 concentrations were compared with manufacturer-reported VitD3 concentrations and between wet and dry foods, among AAFCO nutritional adequacy statements (nutrient profiles vs feeding trials and adult maintenance vs all life stages), between foods sold only by veterinarians and those sold over the counter, and between small and large manufacturers. RESULTS The analyzed VitD3 concentration was below both AAFCO and National Research Council recommendations for one sample and below the assay detection limit for another. Analyzed VitD3 concentrations did not differ significantly from manufacturer-reported VitD3 concentrations or between wet and dry foods, among foods with different AAFCO nutritional adequacy statements, between foods sold only by veterinarians and those sold over the counter, or between foods produced by small and large manufacturers. CONCLUSIONS AND CLINICAL RELEVANCE Results suggested that manufacturer-reported VitD3 concentrations were accurate and that dog owners can be confident that VitD3 intake is adequate for AAFCO-compliant commercial dog foods.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".